Arts, Sciences, and Engineering Statistics
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-164545 STAT 217-1 Applied Statistical Methods II Spring 2024 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 1230 PM 145 PM Morey Room 502 01/17/2024 05/11/2024
Enrollment: Enrolled     
27 		Capacity     
30
Instructors: Nicholas Zaino
Delivery Mode: In-Person
Description:
Co-located: STAT 417, STAT 217
Prerequisites: STAT 216.
Description: STAT 217 offers an advanced exploration of statistical techniques used for data analyses. The first half of the course will focus on regression, with topics including weighted least squares, polynomial/non-linear models, collinear data, robust regression, time series techniques, and other related modeling topics. In the second half of the course, advanced analysis of variance (ANOVA) techniques will be explored, focusing mainly on repeated measures, mixed models, multivariate ANOVA, and nonparametric alternatives. Additional topics include structural equation models, missing data, and meta-analysis. This course will focus on the practical use of statistical techniques and will incorporate some basic theory.  
Offered: Spring
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-144320 STAT 217-1 Applied Statistical Methods II Spring 2023 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 1230 PM 145 PM Morey Room 502 01/11/2023 05/06/2023
Enrollment: Enrolled     
29 		Capacity     
30
Instructors: Nicholas Zaino
Delivery Mode: In-Person
Description:
Co-located: STAT 417, STAT 217
Prerequisites: STAT 216.
Description: STAT 217 offers an advanced exploration of statistical techniques used for data analyses. The first half of the course will focus on regression, with topics including weighted least squares, polynomial/non-linear models, collinear data, robust regression, time series techniques, and other related modeling topics. In the second half of the course, advanced analysis of variance (ANOVA) techniques will be explored, focusing mainly on repeated measures, mixed models, multivariate ANOVA, and nonparametric alternatives. Additional topics include structural equation models, missing data, and meta-analysis. This course will focus on the practical use of statistical techniques and will incorporate some basic theory.  
Offered: Spring