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 1 year ago

A) Hypothesis Testing - Type I and Type II errors: You test the claim that the...

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Type I and Type II Errors . Please discuss Type I and Type II errors. What...

Type I and Type II Errors . Please discuss Type I and Type II errors. What are they? Discuss their relationship with hypothesis testing. Answer all parts of question!!! Do not plagiarize!! Write out the answer on here, don't post a picture of it! Answer must be long!

Type I and II Errors

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Explain what Type I and Type II errors are.

• What is the level of significance? • What are Type I and Type II errors?...

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Type I and Type II errors Statistically speaking, we are generally agnostic to which is a...

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

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