Familiarizes the student with the practical aspects of statistical design in biology, the analysis of experimental and survey data, and interpretation of statistical results. Lectures emphasize the rationale for choosing statistical tests and an understanding of their mathematical foundation and framework. Labs and assignments provide hands-on training in data analysis with the R programming language and in the interpretation of software outputs, and stress critical thinking and scientific communication. Prerequisites: STAT 141 or 151 or SCI 151, BIOL 330, and a 300-level Biological Sciences course. Credit cannot be obtained for BIOL 430 and BIOL 530 or REN R 480.
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE B1
(87856) |
25 |
2026-01-05 - 2026-04-10 (TR)
11:00 - 12:20
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Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LAB H1
(87857) |
25 |
2026-01-05 - 2026-04-10 (R)
14:00 - 16:50
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