Question

6) What is Type I error?
1 point
a) The probability of accepting the null
hypothesis when it is false
b) The probability of rejecting the null
hypothesis when it is true
c) The probability of rejecting the null
hypothesis when it is false
d) The probability of accepting the null
hypothesis when it is true​

Answer 1

Answer:

Power is the probability of rejecting the null hypothesis when, in fact, it is false. Power is the probability of making a correct decision (to reject the null hypothesis) when the null hypothesis is false. Power is the probability that a test of significance will pick up on an effect that is present.15