choose the correct answer below. a. a type ii...
choose the correct answer below. a. a type ii error is making the mistake of failing to reject the null hypothesis when it is actually false. b. a type i error is making the mistake of rejecting the null hypothesis when it is actually false. c. a type i error is making the mistake of rejecting the null hypothesis when it is actually true. d. the symbol α represents the probability of a type i error.
Answer
# Brief Explanations:
In hypothesis - testing, a type I error occurs when the null hypothesis is true but is rejected. The probability of a type I error is denoted by $\alpha$. A type II error is when the null hypothesis is false but is not rejected. Option B is incorrect as rejecting a false null hypothesis is a correct decision, not an error.
# Answer:
A. A type II error is making the mistake of failing to reject the null hypothesis when it is actually false.
C. A type I error is making the mistake of rejecting the null hypothesis when it is actually true.
D. The symbol $\alpha$ represents the probability of a type I error.