Question 1. With fewer degrees of freedom and larger critical values to exceed, how can the dependent samples t be more powerful than the independent t?
[removed] The larger critical value makes it easier to find statistical significance.
[removed] The dependent groups tests tend to have larger treatment effects.
[removed] The dependent groups tests can be repeated without affecting type I error.
[removed] The larger critical value is offset by lower amounts of error variance.
Question 2. The within-subjects F is the non-independent groups equivalent of the one-way ANOVA.
Question 3. The post-hoc test for a within-subjects F test _____________.
[removed] provides a measure of practical importance
[removed] indicates the ratio of treatment effect to error variability
[removed] indicates which set of scores are significantly different
[removed] provides a test of the probability of committing a decision error
Question 4. Why is matching uncommon when using the within-subjects F?
[removed] With several measures matching is usually unnecessary.
[removed] Multiple before/after t-tests will provide the same data.
[removed] Matching won’t control the error variance in more than two subjects.
[removed] It’s difficult to find enough subjects that have the same characteristics.
Question 5. The term homogeneity of variance refers to which of the following conditions?
[removed] All groups have similar amounts of data variability.
[removed] The same mean value occurs in each group.
[removed] All groups are drawn from the same population.
[removed] All groups have the same sample size.
Question 6. The point of the eta-squared test in ANOVA is to indicate _________.
[removed] statistical significance
[removed] effect size
[removed] error variance
[removed] the location of significant differences
Question 7. The number of sets of measures that a within-subjects F will accommodate is ___________.
[removed] two or more
[removed] three or more
Question 8. If there were four groups, how many possible pair-wise comparisons are there?
Question 9. What is the statistical focus of a one-way analysis of variance?
Question 10. Using the same people repeatedly in a study has all but one of the following effects: (
[removed] It increases the time needed for the study.
[removed] It decreases the sample size needed for the study.
[removed] It eliminates the error variance from the study.
[removed] It makes smaller effects statistically significant.
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