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1. In a two-way ANOVA, if null hypothesis for the main effect of the column variable is rejected, then the null hypothesis for the row variable must also be rejected.
2. Variance equals the sum of squares divided by the degrees of freedom.
3. If you have exactly two groups in a between-subjects design and want to compare the means of the groups, you can use either an unpaired t test or a one-way ANOVA.
4. F tests and t tests are examples of parametric statistical tests.
5. In one-way ANOVA, the independent variable only has an effect on the within-groups variance, not on the between-groups variance.
The nature of the hypothesis being tested, and the appropriateness of the statistical procedures employed in that test. You may illustrate your points using the tests you conducted.
A researcher selected a sample of 50 residents from each of 3 different cities to determine if they were willing to participate in a medical experiment. which of the following assumptions is NOT made for the F test for comparing 3 or more means?
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