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Summary:
This lesson offers an introduction to ANOVA, including 1) how this statistical test can be differentiated from others and 2) a step-by-step guide to conducting and interpreting ANOVA results in R, including assumption testing and post-hoc analysis.
Contents:
Geyer_ANOVA_LessonPlan.pdf(PDF | 463 KB)
Geyer_ANOVA_swirl.swc(SWC | 6 KB)- License terms
Versions
| Version | Released | DOI Handle | Status | |
|---|---|---|---|---|
| 1.0 | Jan 13, 2020 | 10.25334/92KV-EH29 | published | view version » |