Reference no: EM132523164
1. Sampling distributions are always generated under the assumption that the null hypothesis is false.
2. A two-way ANOVA uses the same F sampling distribution as a one-way ANOVA.
3. In ANOVA, The F statistic is associated with pairwise follow-up comparisons, rather than the omnibus test.
4. The Pearson correlation coefficient can be used when X and Y have a non-linear relation.
5. On a line graph of cell means, main effect for the column IV will be evident by the lines on the graph being tilted in the same direction.
6. The Pearson correlation coefficient can range from -1 to +1.
7. As follow-ups to an omnibus ANOVA, planned comparisons have greater power than post hoc comparisons.
8. The effect size omega-squared can sometimes be larger than 1.0.
9. Every inferential statistical test requires a sampling distribution in order to test the null hypothesis.
10. The sign test is an example of a non-parametric test.