Answer:
Type I error and Type II error
Step-by-step explanation:
Type I and Type II errors are statistical errors made in hypothesis testing where an accepted hypothesis is actually the false hypothesis and the other true.
Type I error occurs when the chosen hypothesis is the alternative hypothesis which is false since the null hypothesis is true. We reject the null hypothesis which is actually true.
Type II error occurs when we accept or fail to reject the null hypothesis which is false and reject the alternative hypothesis which is true.
The probability of making a Type I error is represented by your alpha level (α)(we reject when below p-value)
The probability of a type-II error is represented by β which is beta.