MAT 387 - Introduction to Applied/Biostatistical Methods

This is an introductory statistical methodology course with emphases on applications in biological and health sciences. Topics include distributional theory, estimation and testing hypotheses, rank-based and related distribution-free tests, large sample chi-squared tests, analysis of rates and proportions, paired sample methods, permutation and re-sampling methods. Writing formal statistical reports of projects based on real-life data is a key component of the course.

Prerequisite(s): MAT 282 or permission of instructor.
Co-requisite(s):
Credits: 3

Meets the Following Core Requirement: Capstone
Course Typically Offered:
Course Type: Mathematics