4. The ANOVA examines the ratio between between-group variability and within-group variability. What is the best case scenario for a researcher who wants to find a difference between groups?

a. Large amount ofbetween-group variability, large amount of within-group variability

b. Large amount of between-group variability, low amount of within-group variability

c. Low amount of between-group variability, low amount of within-group variability

d. Low amount of between-group variability, large amout of within-group variability

5. Correlation coefficient tells you

a. if there is a difference between groups

b. the strength and nature of the relationship between 2 variables

c. which variables causes a change in another variable

d. which groups are different from each other

6. Choose which Pearson's r is the strongest correlation.

a. r = .25b. r = -.45c. r = -.50d. r = -.01

7. Correlation analyses differ from the ANOVA. Explain how they're different, and give an example of an experiment for each analyses.