if the null hypothesis is rejected when the n...
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