Statistics I Credits: 3

Catalog description

This graduate statistics online course is designed for students in the graduate programs. The course provides a comprehensive understanding of: describing data, logic of sampling, and test statistics; hypothesis testing, type 1 and type 2 errors; power; one-way ANOVA (analysis of variance); planned comparison, post-hoc tests and trend analysis; factorial ANOVA; repeated measures designs and mixed randomized repeated designs; simple and multiple regression; and ANCOVA (analysis of co-variance).