Question 1 which statistic is the best expression of error

Question

Question 1: Which statistic is the best expression of error variance in an ANOVA?

• MG
• SSbet
• SSwith
• SStot

Question 2: The magnitude of any sum of square value reflects which of the following?

• The treatment effect
• The impact of the dependent variable
• The number of scores included
• The effect size

Question 3: With fewer degrees of freedom and larger critical values to exceed, how can the dependent samples t be more powerful than the independent t?

• The larger critical value makes it easier to find statistical significance.
• The dependent groups tests tend to have larger treatment effects.
• The dependent groups tests can be repeated without affecting type I error.
• The larger critical value is offset by lower amounts of error variance.

Question 4: In an analysis of significant differences, any variance in scores not related to the independent variable is represented where?

• In any ancillary analysis that may be conducted
• Error variance
• In the differences between groups
• As a portion of the treatment effect

Question 5: What measure of data variability did Fisher rely on for ANOVA?

• The F ratio
• The modified standard score
• The squared difference between particular values and the relevant mean
• The standard error of the difference between multiple groups

Question 6. 6. The treatment effect is a component of which of the following in the within-subjects F?

• The measure-to-measure differences
• The subject-to-subject differences
• The measure times subjects differences
• The residual differences

Question 7: The validity of results from independent t or one-way ANOVA rests on which assumption?

• The dependent variable is at least ratio scale.
• All groups receive the same level of the treatment.
• The groups are equivalent before the treatment.
• The independent variable is at least ordinal scale.

Question 8: When the dependent groups tests use matched pairs, what is it that is matched?

• Subjects are matched on the degree of error variance each one manifests.
• Subjects are matched so that each pair receives the same treatment.
• Subjects are matched on variables other than the IV that affect the DV.
• Subjects are matched so that there are no differences in the level of the DV.

Question 9: Why is matching uncommon when using the within-subjects F?

• With several measures matching is usually unnecessary.
• Multiple before/after t-tests will provide the same data.
• Matching won't control the error variance in more than two subjects.
• It's difficult to find enough subjects that have the same characteristics.

Question 10: Repeated measures designs reduce error variance as long as the scores are correlated.

• True
• False