Course Description
A continuation of Introduction to Statistical Methods I. Introduces additional statistical methods not covered in the first course. Emphasizes applications in the social and behavioral sciences. Topics include inference for categorical variables, multiple regression, logistic regression, one-way ANOVA, two-way ANOVA, ANCOVA, and nonparametric methods. Uses point-and-click statistical software.
Athena Title
Intro to Statistical Method II
Prerequisite
STAT 6210
Semester Course Offered
Offered fall, spring and summer
Grading System
A - F (Traditional)
Course Objectives
This is the second of a two-course sequence on applied statistics at an introductory level which emphasizes applications in the social and behavioral sciences. Upon completion of the course, students will know the proper use of different methods for the analysis of two-way contingency table data (categorical data analysis), multiple regression, ANOVA, ANCOVA, and some nonparametric methods. Students will review correlation and simple regression before learning logistic regression and multiple linear regression. They will be introduced to the one-way analysis of variance, two-way analysis of variance, and analysis of covariance models. They will know how to apply linear regression and analysis of variance for the purpose of data analysis to their own research problems using point-and-click statistical software such as Minitab and JMP.
Topical Outline
This course will review categorical data analysis, one and two-sample inference. The course will then cover logistic regression, multiple linear regression, one-way analysis of variance, two-way analysis of variance, analysis of covariance, and elementary nonparametric methods.
Syllabus