1. The larger the within-groups (error) variance: a. the more difficult it becom

Question

1. The larger the within-groups (error) variance: a. the more difficult it becomes to show the effects of the independent variable b. the easier it becomes to show the effects of the independent variable c. the more likely you are to have confounding variables d. the less likely you are to have confounding variables

2. In all types of ANOVA, the F ratio is measuring: a. effect of the independent variable / effect of the dependent variable b. effect of the independent variable / error c. (effect of the independent variable + error) / error d. error / effect of the independent variable

3. Which of the following is included in the denominator of the F ratio of a between-subjects ANOVA, but not a within-subjects ANOVA? a. individual differences between subjects c. the effect of the independent variable b. random error d. all of these

4. When comparing 3 means to each other, you should use ANOVA instead of multiple t-tests in order to reduce the risk of: a. Type I error c. confounding variables b. Type II error d. too much work

Explanation / Answer

1) when we have larger within groups variance the only thing which is problamatic is that  it becomes to show the effects of the independent variable hence we have to be use to get the small within groups variance

hence option A is correct

Related Questions

Navigate

• Browse (All)
• Browse 1
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.