Why should a researcher not interpret a correlation that is not statistically significant?
A)It is based on too few participants.
B)The correlation in the population is likely to be zero.
C)Correlation does not imply causality.
D)The data are likely to contain outliers.

Question

Quizplus · Accepted Answer

A correlation that is not statistically significant suggests that we cannot be confident that the observed correlation in the sample reflects a true correlation in the population. It does not necessarily imply that the correlation in the population is zero, but rather that we do not have enough evidence to conclude that there is a non-zero correlation. This is why interpreting such a correlation can be misleading.

Why Should a Researcher Not Interpret a Correlation That Is