Answer
When the size of sample rises, the probability of Type II error decreases. It means that the power of test \[\left( 1-\beta \right)\] increases and the null hypothesis is rejected.
Work Step by Step
The greater the value of the power of test, more are the chances of rejecting the when is true. The probability of Type II error decreases when the sample size increases.
