IB 517
Fall 2025 All Classes
All Classes
Credit: 4 hours.
Students will review and master commonly used statistical techniques including probability distributions, power analyses, t-tests, correlations, regression, ANOVA, generalized linear models, principal components analysis, model selection, and experimental design/interpretation. Weekly discussions focus on statistical issues such as data dredging, the difference between statistical and biological significance, and the difference between correlation and causation. The laboratory involves programming in R to create publication quality graphs, analyze/simulate/interpret data, and trouble-shooting code.
Prerequisite: General statistics course or consent of the instructor.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
78352
|
Lecture-Discussion
|
A
|
10:30AM
-11:50AM
|
MWF
|
2233 Everitt Laboratory
|
Chan, C
Fuller, B |
|