The probability we use to define a statistically significant outcome is called the
A)level of significance.
B)null hypothesis.
C)effect size
D)level of rejection.

Question

Quizplus · Accepted Answer

The level of significance is the probability threshold at which we reject the null hypothesis in favor of the alternative hypothesis. It is typically set at 0.05 or 0.01, and represents the maximum risk of a false positive result (rejecting the null hypothesis when it is actually true). If the probability value calculated from the data is less than the level of significance, we can conclude that the outcome is statistically significant.

The Probability We Use to Define a Statistically Significant Outcome