ANOVAIn many ways, comparing multiple sample means is simply an .docx
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The document discusses the concept of ANOVA as an extension of previous statistical methods, specifically comparing multiple sample means. It highlights different types of ANOVA, including single factor, factorial, and within-subjects. The document prompts for examples and appropriate hypothesis statements for each ANOVA type in various contexts.
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ANOVAIn many ways, comparing multiple sample means is simply an .docx
- 1. ANOVA In many ways, comparing multiple sample means is simply an extension of what we covered last week. Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired; we have several versions of ANOVA – single factor, factorial (called 2-factor with replication in Excel), and within-subjects (2-factor without replication in Excel). What examples (professional, personal, social) can you provide on when we might use each type? What would be the appropriate hypotheses statements for each example?