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. Lectures and labs are the same as BIOL 430, but with additional assignments and evaluations appropriate to graduate studies. Prerequisites: Consent of Department. Credit cannot be obtained for BIOL 530 and BIOL 430 or REN R 480.
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE B1
(87858) |
5 |
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
(87859) |
5 |
2026-01-05 - 2026-04-10 (R)
14:00 - 16:50
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