Answer
Type-I Error: Reject Null Hypothesis when its true.
Type-II Error: Accept Alternative Hypothesis when its false.
Type-I error is inversely proportional to Type-II error, that is, Type-I error decreases with the increase in Type-I error and vice versa
Work Step by Step
Given above