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What is Understanding ANOVA Basics about?
1) ANOVA compares the variation between groups to the variation within groups to determine if there are statistically significant differences between the means of the groups. It analyzes variances to derive conclusions about means. 2) Running multiple t-tests increases the familywise error rate and the risk of making a Type I error. ANOVA controls the familywise error rate. 3) If the ANOVA finds a statistically significant difference between the groups, post-hoc tests are needed to determine specifically w
- Author
- Shyama Sundari Devi
- Language
- EN