This course is an intermediate applied statistics course that builds on the statistical data analysis methods introduced in STAT 111 or STAT 135. Students will learn how to pose a statistical question, perform appropriate statistical analysis of the data, and properly interpret and communicate their results. Emphasis will be placed on the use of statistical software, data manipulation, model fitting, and assessment. Topics covered will include ethics, experimental design, parametric and nonparametric methods, resampling approaches, analysis of variance models, multiple regression, model selection, and logistic regression. Four class hours per week.
Requisite: STAT 111 or 135 or consent of the instructor. Limited to 24 students. Fall semester: Professor Wang. Spring semester: Professor Kim.
If Overenrolled: Priority for preregistered sophomores and STAT majors.