Why might the non-parametric tests be more appropriate


Question 1: We run three different tests of the correlation. The first is a parametric test, and the second two are non-parametric tests. Why might the non-parametric tests be more appropriate to use in this case?

Question 2: Despite the differences in underlying formulas and the differences in the correlations computed, all three tests lead to the same conclusion about the relationship between pretest scores and perusal scores. What is it?

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