If the power of a statistical test is known to be .7683, then what is the probab

Question

If the power of a statistical test is known to be .7683, then what is the probability of making a Type II error? If the alpha level for a statistical test is set a .10 level, what is the probability of making a Type I error? For the scenarios be low type in a 0, if it is a correct decision, or a 1 or a 2 if it is a type I or Type 2 error A drug test comes back positive for a drug addict. A patient takes a pregnancy test and it comes out negative, but finds out later that she was in fact pregnant. In a study conducted for college students sleeping habits, it was found that there was evidence that college students aren't getting the recommended amount of sleep (8 hrs), when in fact they are.

Explanation / Answer

probabilty of type II errror =1-power =1-0.7683=0.2317

probabilty of type I error =alpha=0.1

1)0

2)1

3)1

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