if the null hypothesis is rejected when the null hypothesis is true, then what has happened? a. correct…

if the null hypothesis is rejected when the null hypothesis is true, then what has happened? a. correct decision b. type i error c. type α error d. type ii error

if the null hypothesis is rejected when the null hypothesis is true, then what has happened? a. correct decision b. type i error c. type α error d. type ii error

Answer

Brief Explanations:

In hypothesis - testing, a Type I error occurs when the null hypothesis is true but is rejected. A Type II error is when the null hypothesis is false but is not rejected. A correct decision is when a true null is not rejected or a false null is rejected. Type $\alpha$ is the significance level, not the name for this type of error situation.

Answer:

B. Type I error