A type I error is
A)always the same as (1-type II)error.
B)the error you make when rejecting the null hypothesis when it is true.
C)the error you make when rejecting the alternative hypothesis when it is true.
D)always 5%.

Question

Quizplus · Accepted Answer

A type I error occurs when the null hypothesis is true, but we reject it based on our sample data. It is also known as a false positive error or alpha error. This can happen when we set our significance level (alpha) too high, and we end up rejecting the null hypothesis when it is actually true.

A Type I Error Is