F11 F12 PRINT 11. In order to establish the significance of a correlation, one must know the value of the correlation coefficient and also: a. the number of paired scores b, whether it relates to other measures c. whether it specifies the direction of the association d. the sign of the correlation 12. Negative correlations: a. may never be significant b. may never be used for prediction c. may never generalize to the population d. none of these 13. For the Pearson r, when Ho is rejected, it means that: a. the correlation is positive c . b. the correlation is negative the correlation is significant d. none of these 14. The Pearson r may be used to test the hypothesis of: a. difference b. association c. central limit d. all of these 15. When a correlation is not significant, it means that: a. Ho has been accepted . the correlation can't be generalized to the population c. the correlation is negative a and b, but not c 16. When the knowledge of one event allows for the prediction of another event, then the two events are: a . significantly different b. causally related correlated d. due to chance 17. When high scores on the first variable associate with high scores on the second, and low scores on the first associate with low scores on the second, then the correlation is: a. non-existent b. positive c. negative d. zero 18. For the Pearson r, the null hypothesis states that: a . there is a significant correlation in the population b . there is no correlation in the sample C . there is no correlation in the population d. the sample no longer represents the population 19. Regardless of the degrees of freedom, any Person r of . 90 or higher must be: a. significant b. non-significant c. more than significant d. none of these 20. In doing a Pearson r on 20 pairs of scores, degrees of freedom would equal: a . 20 b. 18 C. 40 d, 38