8) Errors: Type I and Type II are errors that are possible even when a hypothesis...

8) Errors: Type I and Type II are errors that are possible even when a hypothesis test is done correctly. A hypothesis test is based on probabilities (p-values) This means there is always a probability of drawing the wrong conclusion even when done correctly. Please review the following:

a.) What are type I and type II errors?

b.) Be able to discuss what a type I or type II error is in a given scenario

c.) What is the relationship between alpha, beta and the sample size?

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orchestra answered 11 months ago

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