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

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Statistics

8) Errors: Type I and Type II are errors that are possible evenwhen a hypothesis test is done correctly. A hypothesis test isbased on probabilities (p-values) This means there is always aprobability of drawing the wrong conclusion even when donecorrectly. 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 agiven scenario

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

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