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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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