Statistics
posted by Anonymous on .
A test is made of H0: mean = 27 versus H1: mean < 27. The true value of the mean is 27, and H0 is rejected. Is this a Type I error, Type II error, or a correct decision? How do I determine which is which???
Question 4 options:
1) Type II error
2) Type I error
3) Correct decision

This is definitly an error because Ho was rejected when it was true.
Google Type I and Type II errors and you will find the definition of each and then you will be able to figure out which error happened here.