What is the difference between Pearson's and Spearman's correlations when performing a hypothesis test?
A)The level of $\alpha$
B)The size of the sample
C)The assumption that the scores must be randomly selected
D)How the respective sampling distributions for each correlation are conceptualized

Question

Quizplus · Accepted Answer

Pearson's correlation assumes a linear relationship between variables and follows a normal distribution, while Spearman's correlation doesn't assume linearity and follows a t-distribution. The conceptualization of their respective sampling distributions is different, which affects the choice of hypothesis test to use. The level of significance, sample size, and randomness of scores are not specific differences between Pearson's and Spearman's correlations when performing a hypothesis test.

What Is the Difference Between Pearson's and Spearman's Correlations When α\alphaα

What Is the Difference Between Pearson's and Spearman's Correlations When $\alpha$