# If a relationship has practical significance, does it guarantee that statistical significance will be achieved in every study that examines it?

##### 1 Answer

Jun 26, 2018

No. And the converse is also true (and more common).

#### Explanation:

This is a variation on the lack of connection between causality and correlation. The missing value is the risk perception. A relationship with a practical significance (risk/benefit) as perceived by the individual may not demonstrate "statistical significance" based on the chosen risk factors or confidence intervals.

More often, people make the mistake of assuming that "statistical significance" (often a very minor mathematical difference) implies both causality (remember to look at that confidence interval again) and practical significance. Statistics can (and should) *guide* decisions, but they are not the only valid basis for decisions.