Type I error increases when a null hypothesis is rejected when it is actually true. Type II error decreases when a null hypothesis that is false fails to be rejected. Rejection of a null hypothesis that is false is always a Type II error.

1. As type I error increases, type II error decreases.
T or F, and why or why not?
and
Answer “True” if the statement is always true. If the statement
is not always true, replace the underlined words with words that
make the statement always true.
Rejection of a null hypothesis that is false is a
Type II error
.