7. When a correlation is not significant, it means that a. Ho has been accepted

Question

7. When a correlation is not significant, it means that

          a.   Ho has been accepted

          b.   the correlation can be generalized to the population

          c.   the correlation is negative

          d.   we fail to accept the null

17. When one set of measures is in interval form, and the other in ordinal, then the appropriate correlational technique should be

          a.   the Pearson r

          b.   the t test

          c.   the Spearman r

          d.   the contingency coefficient

Explanation / Answer

1. If the correlation is not significant, that means we accept the null hypothesis. So answer is A

2. Spearman r is used in suck cases where one variable is interval and other is ordinal. So answer is C

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