Question

Just because something is statistically significant, it doesn’t mean it is ________ significant.

Group of answer choices

actually

sufficiently

efficiently

practically

Answer 1

The answer to the question will be practically significant.

In statistical significance we do hypothesis testing and in that there are lot of assumption like whether the sample results that you obtain are likely if you assume the null hypothesis is correct for the population. Hypothesis test with small effect size can produce very low p value when you have large sample size or the data have low variability.

So just because something is statistically significant, it dosn't mean it is practically significant.

In practical significant we talk about the magnitude of effect and no statistical test can tell you whether the effect is large enough to be important in your field of study.