MATH 510 Applied Statistics
This course presents various statistical methods that are useful to students and professionals in the Life Sciences. Topics include estimation and hypothesis testing, analysis of variance and covariance, simple and multiple regression techniques, logistic regression, count data analysis, and nonparametric methods.
Prerequisite: An introductory course in statistics.
University of Indianapolis
Semester: Winter/Spring 2023
Credit Hours: 3 Graduate
Date: 01/17/2023 – 05/06/2023
Location: Online (asynchronous w/ synchronous options)
Teacher Level: Grades 9-12
Graduate Certificate Available: Yes
Master’s Completion Option: No