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.
Related Offerings:
MATH-510 Applied Statistical Methods (3 credit hrs.) (Winter/Spring 2023)
MATH-520 Number Theory (3 credit hrs.) (Summer 2023)
MATH-530 Abstract Algebra (4 credit hrs.) (proposed) (Fall 2023)
MATH-540 Modern Geometries (4 credit hrs.) (proposed) (Winter/Spring 2024)
MATH-550 Mathematical Analysis (4 credit hrs.) (proposed) (Summer 2024)
University of Indianapolis
Semester: Winter/Spring 2023
Instructor: Leslie Gardner
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