Review set 1 (4) Q4. What of the following is adding up equal to 1? A. Type I error and Type II error B. power and Type I error C. power and Type II error D. power, Type I error, and Type II error

In the fascinating world of statistics, a Type I error occurs when you wrongly reject a true null hypothesis, while a Type II error happens when you fail to reject a false null hypothesis. These two errors together illustrate the balance between making mistakes in statistical testing and are fundamental concepts in hypothesis testing. Power is the probability of correctly rejecting a false null hypothesis, and it’s complement to the Type II error. When you add the power and Type II error together, you get a probability of 1, representing a complete outcome of either making the correct decision or the opposite mistake. So, the right answer here is B: power and Type I error!