The failure to replicate the power posing effect suggests that the researcher of
ID: 3055810 • Letter: T
Question
The failure to replicate the power posing effect suggests that the researcher of the original study made a Type I Error O Type II Error What happens to the power and the probability of a Type II Error for a hypothesis test when we increase the sample size? Power would decrease and the probability of a Type II Error would increase Power would increase and the probability of a Type II Error would decrease. They would stay the same; the power and the probability of a Type II Error are not affected by the sample size.Explanation / Answer
1) type I error
2)
as sample size increases std error redues and we can with higher probability reject then null
hence corect option is:
power would increase and the probabiltiy of a type II error would decrease.
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