In hypothesis testing, the value of β is: A)equal to 1 minus the probability of committing a Type I error. B)the probability of concluding H₀ when H₀ is true. C)the probability of concluding H₀ when H₁ is true.

Question

Quizplus · Accepted Answer

Beta (β) is the probability of making a Type II error, which occurs when the null hypothesis is falsely accepted, meaning the test fails to detect an effect or difference that actually exists. Option C correctly describes this scenario, where the null hypothesis is incorrectly accepted as true when in fact the alternative hypothesis is true.

In Hypothesis Testing, the Value of β Is