This course is an intermediate applied statistics course that continues the theme of hands-on data analysis begun in MATH 130. Students will learn how to evaluate an experimental study, perform appropriate statistical analysis of the data, and properly communicate their analyses. Emphasis will be placed on the use of statistical software and the interpretation of the results of data analysis. Topics covered will include basic experimental design, parametric and nonparametric methods for comparing two or more population means, analysis of variance models for multi-factor designs, multiple regression, analysis of covariance, model selection, logistic regression, and methods for analyzing various types of count data. Four class hours per week (two will be held in the computer lab).
Requisite: MATH 130 or consent of the instructor. Fall semester: Professor Horton. Spring semester: Professor Wagaman.