In order to establish a statistical correlation between a and E, we compare two groups that are basically the same, except that a is present in one and not present in the other.If it turns out that E is more common when a is present, is this enough to show that they correlate?

Question

Quizplus · Accepted Answer

A statistical correlation can be established through comparing two groups that are the same except for one variable. In this scenario, if E is more common when a is present, there may be a correlation between a and E. However, the significance of this correlation would depend on the size of the difference between the two groups. A larger difference would suggest a stronger correlation, while a smaller difference may not be statistically significant. Therefore, choice B is the correct answer. Choices A, C, D, and E are all incorrect. A is incorrect because even a slight difference does not necessarily prove a correlation. C is incorrect because a correlation is a statistical relationship, not necessarily a causal one. D is incorrect because the presence of a in both groups would be necessary to establish causality, not correlation. E is incorrect because equality in the presence of E is not required for a correlation to exist.

In Order to Establish a Statistical Correlation Between a and E