Question

As the Type II error, β,of a statistical test increases, the power of the test _____________.

Answer 1

decreases.

Explanation:

Type II error is one in which we fail to reject the null hypothesis that is actually false. Null hypothesis is a statement that is to be tested against the alternative hypothesis and then decision is taken whether to accept or reject the null hypothesis. The power of Type II error is 1 -
`\beta`. As the power increases the probability of Type II error decreases.