If a researcher finds a correlation between two variables,it is always possible that there is some unmeasured variable out there in the world that is the true cause of the other two,and is responsible for the relationship between them.This reflects

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The statement describes the third variable problem, which refers to the possibility that a correlation between two variables is actually explained by a third variable that has not been measured or accounted for in the analysis. The other choices (B, C, and D) do not accurately reflect this scenario. Reverse causality refers to a situation in which the direction of causality between two variables is the opposite of what is initially assumed, statistical significance addresses whether an observed relationship between variables is likely due to chance, and convenience sampling refers to a biased selection of study participants.

If a Researcher Finds a Correlation Between Two Variables,it Is