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INTRODUCTORY APPLIED STATISTICS FOR THE LIFE SCIENCES

STAT 371
Course Description

Introduction to modern statistical practice in the life sciences, using the R programming language. Topics include: exploratory data analysis, probability and random variables; one-sample testing and confidence intervals, role of assumptions, sample size determination, two-sample inference; basic ideas in experimental design, analysis of variance, linear regression, goodness-of fit; biological applications.

Prerequisites

(MATH 112 and placed out of MATH 113 ), (MATH 113 and placed out of MATH 112 ), (MATH 112 and MATH 113 ), MATH 114 , 171, MATH 211 , MATH 221 , or placement in MATH 221 . Not open to students with credit for STAT 302 or STAT 324

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
2.89

-7.1% from Historical

Completion Rate
92.68%

-3.11% from Historical

A Rate
28.83%

-12.59% from Historical

Class Size
437

-8.02% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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