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.

Prerequisties

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

Satisfies

BOTANY/PLPATH 563 , SOILSCI 585 , STAT 333 , SOC 674 , BMI/COMPSCI 567 , STAT 324 , C&ESOC/SOC 618 , ISYE/PSYCH 349 , MATH/STAT 310 , PSYCH 225 , SOC 351 , FOODSCI 412 , PLPATH 602 , PUBAFFR 340 , ISYE 320 , COMPSCI 566 , KINES 330 , ISYE 315 , PLPATH 315 , F&WECOL 458 , CNSRSCI 201 , ME/STAT 424 , PSYCH 602 , ECON/FINANCE 300 , STAT 301 , F&WECOL/LANDARC/ZOOLOGY 565 , STAT 303 , and AAE/ECON 421

Credits

Offered

Not Applicable

Grade Point Average

2.8

-10.1% from Historical

Completion Rate

89.79%

-6.21% from Historical

A Rate

25.26%

-23.68% from Historical

Class Size

578

21.38% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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