For any hypothesis test, the amount of evidence required to overturn (reject) the null hypothesis can be expressed by:
A) β.
B) α.
C) the type II error rate.
D) λ.

Question

Quizplus · Accepted Answer

The amount of evidence required to reject the null hypothesis is determined by the level of significance, α. This is the probability of incorrectly rejecting the null hypothesis when it is actually true. A lower level of significance (e.g. α = 0.01) requires stronger evidence to reject the null hypothesis compared to a higher level of significance (e.g. α = 0.05).

For Any Hypothesis Test, the Amount of Evidence Required to Overturn