1. A correlation of +.95:

A.Is stronger than a correlation of -.95.

B. Signifies an important relationship between two different variables.

C. Both of the above.

D. None of the above.

2. When a correlation coefficient is near perfect:

A. One variable is a cause of the other.

B. The same variable may have been measured in two different ways.

C. The relationship is positive.

D. None of the above

3. The goodness of fit test should be used when:

A. We have more than two variables.

B. We have exactly two variables.

C. We want to compare sample proportions on a single variable to proportions known to exist in the broader population

D. All of the above are reasons for using the goodness of fit test.

4. Which are the following are assumptions for chi-square

A. The observed frequencies for each cell must be more than 5

B. The expected frequencies for each cell must be 5 or greater

C. The variables are measured at the interval or ratio levels

D. All of the above