Also, I prefer to use the term statistical significance over just significance because it is clearer to a broad audience across fields. From Wikipedia:
> The term significance does not imply importance here, and the term statistical significance is not the same as research significance, theoretical significance, or practical significance. For example, the term clinical significance refers to the practical importance of a treatment effect.
In my experience, the term significance level is more common and clearer.
From Wikipedia:
> More precisely, a study's defined significance level, denoted by α (alpha), is the probability of the study rejecting the null hypothesis, given that the null hypothesis is true; and the p-value of a result, p, is the probability of obtaining a result at least as extreme, given that the null hypothesis is true. The result is statistically significant, by the standards of the study, when p ≤ α.