Arts, Sciences, and Engineering Statistics
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-151909 STAT 212-1 Applied Statistics I Summer 2023 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
Enrollment: Enrolled     
13 		Capacity     
30
Instructors: Katherine Grzesik
Description: This course is offered as a fully online, asynchronous course. 

This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STAT 211, STAT 212, STAT 213, and BIOL/STAT 214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-130981 STAT 212-1 Applied Statistics I Summer 2022 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
Enrollment: Enrolled     
29 		Capacity     
30
Instructors: Katherine Grzesik
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STAT 211, STAT 212, STAT 213, and BIO/STAT 214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses. This course is fully online and asynchronous.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-145260 STAT 212-1 Applied Statistics I Spring 2023 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
MW 1400 1515 Hoyt Hall Room 104 01/11/2023 05/06/2023
Enrollment: Enrolled     
113 		Capacity     
110
Instructors: Katherine Grzesik
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150246 STAT 212-10 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
W 1940 2055 Lattimore Room 413 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150245 STAT 212-11 Applied Statistics I Workshop Spring 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1230 1345 Lechase Room 182 01/11/2023 05/06/2023
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150244 STAT 212-12 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1400 1515 Lechase Room 182 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150243 STAT 212-13 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
W 1650 1805 Bausch & Lomb Room 315 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150242 STAT 212-14 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1230 1345 Lechase Room 148 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150241 STAT 212-15 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1400 1515 Bausch & Lomb Room 315 01/11/2023 05/06/2023
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-149139 STAT 212-16 Applied Statistics I Workshop Spring 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1525 1640 Bausch & Lomb Room 315 01/11/2023 05/06/2023
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150210 STAT 212-17 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Meliora Room 206 01/11/2023 05/06/2023
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-149138 STAT 212-18 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1400 1515 Dewey Room 4162 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150345 STAT 212-19 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 900 1015 Hylan Building Room 306 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-148014 STAT 212-2 Applied Statistics I Spring 2023 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 1105 1220 Dewey Room 1101 01/11/2023 05/06/2023
Enrollment: Enrolled     
81 		Capacity     
85
Instructors: Aruni Jayathilaka
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150300 STAT 212-20 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1025 1140 Bausch & Lomb Room 315 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150346 STAT 212-21 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1150 1305 Goergen Hall Room 110 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150351 STAT 212-22 Applied Statistics I Workshop Spring 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
F 1650 1805 Bausch & Lomb Room 315 01/11/2023 05/06/2023
Enrollment: Enrolled     
14 		Capacity     
15
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-148015 STAT 212-3 Applied Statistics I Spring 2023 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
TR 1400 1515 Dewey Room 1101 01/11/2023 05/06/2023
Enrollment: Enrolled     
84 		Capacity     
85
Instructors: Aruni Jayathilaka
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150252 STAT 212-4 Applied Statistics I Workshop Spring 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Bausch & Lomb Room 315 01/11/2023 05/06/2023
Enrollment: Enrolled     
13 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150251 STAT 212-5 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1025 1140 Dewey Room 4162 01/11/2023 05/06/2023
Enrollment: Enrolled     
16 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150250 STAT 212-6 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
W 1815 1930 Hylan Building Room 105 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150249 STAT 212-7 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1400 1515 Frederick Douglass Room 302 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150248 STAT 212-8 Applied Statistics I Workshop Spring 2023 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1650 1805 Goergen Hall Room 110 01/11/2023 05/06/2023
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-150247 STAT 212-9 Applied Statistics I Workshop Spring 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1650 1805 Meliora Room 224 01/11/2023 05/06/2023
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125412 STAT 212-1 Applied Statistics I Spring 2022 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
MW 1400 1515 Hoyt Hall Room 104 01/12/2022 05/07/2022
Enrollment: Enrolled     
131 		Capacity     
140
Instructors: Katherine Grzesik
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125404 STAT 212-10 App Stt-Bio Phy Sci I Wrk Spring 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
W 1650 1805 Bausch & Lomb Room 315 01/12/2022 05/07/2022
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125410 STAT 212-11 App Stt-Bio Phy Sci I Wrk Spring 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1815 1930 Hylan Building Room 202 01/12/2022 05/07/2022
Enrollment: Enrolled     
13 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125409 STAT 212-12 App Stt-Bio Phy Sci I Wrk Spring 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
F 1525 1640 Meliora Room 219 01/12/2022 05/07/2022
Enrollment: Enrolled     
13 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125408 STAT 212-13 App Stt-Bio Phy Sci I Wrk Spring 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1230 1345 Lechase Room 182 01/12/2022 05/07/2022
Enrollment: Enrolled     
14 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125407 STAT 212-14 App Stt-Bio Phy Sci I Wrk Spring 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1400 1515 Hylan Building Room 206 01/12/2022 05/07/2022
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125403 STAT 212-15 App Stt-Bio Phy Sci I Wrk Spring 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1025 1140 Bausch & Lomb Room 315 01/12/2022 05/07/2022
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125406 STAT 212-16 App Stt-Bio Phy Sci I-Wrk Spring 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1940 2055 Frederick Douglass Room 420 01/12/2022 05/07/2022
Enrollment: Enrolled     
13 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125402 STAT 212-17 App Stt-Bio Phy Sci I-Wrk Spring 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1650 1805 Wilmot Room 116 01/12/2022 05/07/2022
Enrollment: Enrolled     
14 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125577 STAT 212-18 App Stt-Bio Phy Sci I Wrk Spring 2022 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
F 900 1015 Hylan Building Room 105 01/12/2022 05/07/2022
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125567 STAT 212-19 App Stt-Bio Phy Sci I Wrk Spring 2022 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
F 1025 1140 Bausch & Lomb Room 269 01/12/2022 05/07/2022
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125401 STAT 212-2 Applied Statistics I Spring 2022 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 1105 1220 Dewey Room 1101 01/12/2022 05/07/2022
Enrollment: Enrolled     
136 		Capacity     
140
Instructors: Maria McDermott
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125568 STAT 212-20 App Stt-Bio Phy Sci I Wrk Spring 2022 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
R 1400 1515 Bausch & Lomb Room 269 01/12/2022 05/07/2022
Enrollment: Enrolled     
14 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125569 STAT 212-21 App Stt-Bio Phy Sci I Wrk Spring 2022 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
F 1150 1305 Lechase Room 141 01/12/2022 05/07/2022
Enrollment: Enrolled     
14 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125400 STAT 212-3 App Stt-Bio Phy Sci I-Wrk Spring 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1400 1515 Hylan Building Room 105 01/12/2022 05/07/2022
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125399 STAT 212-4 App Stt-Bio Phy Sci I-Wrk Spring 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1940 2055 Bausch & Lomb Room 269 01/12/2022 05/07/2022
Enrollment: Enrolled     
13 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125398 STAT 212-5 App Stt-Bio Phy Sci I-Wrk Spring 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1525 1640 Morey Room 205 01/12/2022 05/07/2022
Enrollment: Enrolled     
13 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125405 STAT 212-6 App Stt-Bio Phy Sci I-Wrk Spring 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1230 1345 Genesee Hall Room 309 01/12/2022 05/07/2022
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125394 STAT 212-7 App Stt-Bio Phy Sci I-Wrk Spring 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1650 1805 Morey Room 205 01/12/2022 05/07/2022
Enrollment: Enrolled     
14 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125393 STAT 212-8 App Stt-Bio Phy Sci I-Wrk Spring 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Bausch & Lomb Room 315 01/12/2022 05/07/2022
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-125411 STAT 212-9 App Stt-Bio Phy Sci I Wrk Spring 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
F 1650 1805 Hylan Building Room 305 01/12/2022 05/07/2022
Enrollment: Enrolled     
12 		Capacity     
15
Instructors: Katherine Grzesik
Description: Workshop that accompanies STAT 212 to further explore concepts of statistical methodology and computing in R.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153336 STAT 212-1 Applied Statistics I Fall 2023 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
MW 1230 1345 Meliora Room 203 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
110
Instructors: Katherine Grzesik
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153335 STAT 212-10 App Stt-Bio Phy Sci I Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1940 2055 Hylan Building Room 306 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153334 STAT 212-11 App Stt-Bio Phy Sci I Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1230 1345 Hylan Building Room 305 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153333 STAT 212-12 App Stt-Bio Phy Sci I Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1400 1515 Hylan Building Room 306 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153332 STAT 212-13 App Stt-Bio Phy Sci I Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1940 2055 Hylan Building Room 105 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153331 STAT 212-14 App Stt-Bio Phy Sci I Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
F 1230 1345 Genesee Hall Room 309 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153330 STAT 212-15 App Stt-Bio Phy Sci I Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
F 1525 1640 Hylan Building Room 305 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153329 STAT 212-16 App Stt-Bio Phy Sci I Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
Hopeman Hall Room 335 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153328 STAT 212-17 App Stt-Bio Phy Sci I-Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Hylan Building Room 101 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153426 STAT 212-2 Applied Statistics I Fall 2023 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 1105 1220 Strong Auditorium Room 011 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
110
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153425 STAT 212-3 App Stt-Bio Phy Sci I-Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1525 1640 Genesee Hall Room 309 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153424 STAT 212-4 App Stt-Bio Phy Sci I-Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Hylan Building Room 102 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153423 STAT 212-5 App Stt-Bio Phy Sci I-Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
F 1025 1140 Hylan Building Room 105 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153422 STAT 212-6 App Stt-Bio Phy Sci I-Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1815 1930 Harkness Room 115 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153421 STAT 212-7 App Stt-Bio Phy Sci I-Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
F 1400 1515 Hylan Building Room 305 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153420 STAT 212-8 App Stt-Bio Phy Sci I-Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1940 2055 Hylan Building Room 203 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153419 STAT 212-9 App Stt-Bio Phy Sci I Wrk Fall 2023 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1650 1805 Bausch & Lomb Room 269 08/30/2023 12/22/2023
Enrollment: Enrolled     
0 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135671 STAT 212-1 Applied Statistics I Fall 2022 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
MW 1230 1345 Meliora Room 203 08/31/2022 12/22/2022
Enrollment: Enrolled     
110 		Capacity     
110
Instructors: Katherine Grzesik
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135672 STAT 212-10 App Stt-Bio Phy Sci I Wrk Fall 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1940 2055 Hylan Building Room 306 08/31/2022 12/22/2022
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135673 STAT 212-11 App Stt-Bio Phy Sci I Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1230 1345 Hylan Building Room 305 08/31/2022 12/22/2022
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135674 STAT 212-12 App Stt-Bio Phy Sci I Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1400 1515 Hylan Building Room 306 08/31/2022 12/22/2022
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135675 STAT 212-13 App Stt-Bio Phy Sci I Wrk Fall 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1940 2055 Hylan Building Room 105 08/31/2022 12/22/2022
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135676 STAT 212-14 App Stt-Bio Phy Sci I Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1230 1345 Genesee Hall Room 309 08/31/2022 12/22/2022
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135677 STAT 212-15 App Stt-Bio Phy Sci I Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1525 1640 Hylan Building Room 305 08/31/2022 12/22/2022
Enrollment: Enrolled     
16 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135678 STAT 212-16 App Stt-Bio Phy Sci I Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1650 1805 Hopeman Hall Room 335 08/31/2022 12/22/2022
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135679 STAT 212-17 App Stt-Bio Phy Sci I-Wrk Fall 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Hylan Building Room 101 08/31/2022 12/22/2022
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135681 STAT 212-2 Applied Statistics I Fall 2022 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
TR 1105 1220 Strong Auditorium Room 011 08/31/2022 12/22/2022
Enrollment: Enrolled     
109 		Capacity     
110
Instructors: Aruni Jayathilaka
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135682 STAT 212-3 App Stt-Bio Phy Sci I-Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1525 1640 Genesee Hall Room 309 08/31/2022 12/22/2022
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135683 STAT 212-4 App Stt-Bio Phy Sci I-Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Hylan Building Room 102 08/31/2022 12/22/2022
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135684 STAT 212-5 App Stt-Bio Phy Sci I-Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1025 1140 Hylan Building Room 105 08/31/2022 12/22/2022
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135685 STAT 212-6 App Stt-Bio Phy Sci I-Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
W 1815 1930 Harkness Room 115 08/31/2022 12/22/2022
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135686 STAT 212-7 App Stt-Bio Phy Sci I-Wrk Fall 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
F 1400 1515 Hylan Building Room 305 08/31/2022 12/22/2022
Enrollment: Enrolled     
14 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135687 STAT 212-8 App Stt-Bio Phy Sci I-Wrk Fall 2022 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1940 2055 Hylan Building Room 203 08/31/2022 12/22/2022
Enrollment: Enrolled     
13 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135688 STAT 212-9 App Stt-Bio Phy Sci I Wrk Fall 2022 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
W 1650 1805 Bausch & Lomb Room 269 08/31/2022 12/22/2022
Enrollment: Enrolled     
15 		Capacity     
15
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115439 STAT 212-1 Applied Statistics I Fall 2021 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
MW 1230 1345 Meliora Room 203 08/25/2021 12/17/2021
Enrollment: Enrolled     
107 		Capacity     
110
Instructors: Katherine Grzesik
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115438 STAT 212-10 App Stt-Bio Phy Sci I Wrk Fall 2021 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
W 1940 2055 Hylan Building Room 306 08/25/2021 12/17/2021
Enrollment: Enrolled     
14 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115437 STAT 212-11 App Stt-Bio Phy Sci I Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1230 1345 Hylan Building Room 305 08/25/2021 12/17/2021
Enrollment: Enrolled     
16 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115436 STAT 212-12 App Stt-Bio Phy Sci I Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1400 1515 Hylan Building Room 306 08/25/2021 12/17/2021
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115435 STAT 212-13 App Stt-Bio Phy Sci I Wrk Fall 2021 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1940 2055 Hylan Building Room 105 08/25/2021 12/17/2021
Enrollment: Enrolled     
13 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115434 STAT 212-14 App Stt-Bio Phy Sci I Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1230 1345 Genesee Hall Room 309 08/25/2021 12/17/2021
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115433 STAT 212-15 App Stt-Bio Phy Sci I Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1525 1640 Hylan Building Room 305 08/25/2021 12/17/2021
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115432 STAT 212-16 App Stt-Bio Phy Sci I Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1650 1805 Hopeman Hall Room 335 08/25/2021 12/17/2021
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115431 STAT 212-17 App Stt-Bio Phy Sci I-Wrk Fall 2021 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Hylan Building Room 101 08/25/2021 12/17/2021
Enrollment: Enrolled     
14 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115429 STAT 212-2 Applied Statistics I Fall 2021 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
TR 1105 1220 Strong Auditorium Room 011 08/25/2021 12/17/2021
Enrollment: Enrolled     
112 		Capacity     
110
Instructors: Maria McDermott
Description: Class Info: YOU MUST REGISTER FOR A WORKSHOP WHEN REGISTERING FOR THE MAIN COURSE.

Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses.
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115428 STAT 212-3 App Stt-Bio Phy Sci I-Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
R 1525 1640 Genesee Hall Room 309 08/25/2021 12/17/2021
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115427 STAT 212-4 App Stt-Bio Phy Sci I-Wrk Fall 2021 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1815 1930 Hylan Building Room 102 08/25/2021 12/17/2021
Enrollment: Enrolled     
14 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115426 STAT 212-5 App Stt-Bio Phy Sci I-Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1025 1140 Hylan Building Room 105 08/25/2021 12/17/2021
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115425 STAT 212-6 App Stt-Bio Phy Sci I-Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
W 1815 1930 Harkness Room 115 08/25/2021 12/17/2021
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115424 STAT 212-7 App Stt-Bio Phy Sci I-Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
F 1400 1515 Hylan Building Room 305 08/25/2021 12/17/2021
Enrollment: Enrolled     
15 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115423 STAT 212-8 App Stt-Bio Phy Sci I-Wrk Fall 2021 Workshop Open
Schedule:
Day Begin End Location Start Date End Date
R 1940 2055 Hylan Building Room 203 08/25/2021 12/17/2021
Enrollment: Enrolled     
11 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-115422 STAT 212-9 App Stt-Bio Phy Sci I Wrk Fall 2021 Workshop Closed
Schedule:
Day Begin End Location Start Date End Date
W 1650 1805 Bausch & Lomb Room 269 08/25/2021 12/17/2021
Enrollment: Enrolled     
17 		Capacity     
15
Instructors: Maria McDermott
Description: This course is a non-calculus based introduction to statistical methodology and analyses that focuses on providing students with the tools and computational experience needed to analyze data in the applied setting. Topics to be covered include data collection through experiments and observational studies, numerical and graphical data summarization, basic probability rules, statistical distributions, parameter estimation, and methods of statistical inference, regression analysis, ANOVA, and contingency tables. Applications are taken from the social and natural sciences. Calculations are performed with statistical software such as R/RStudio. Students may earn degree credit for only one of these courses: STT211, STT212, STT213, and BIO/STT214. This course is recommended for students majoring/minoring in statistics and students in the social and natural sciences looking for an applied statistics course that can be used as a foundation for upper-level methodology courses
Offered: Fall Spring Summer