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Category > Statistics Posted 09 May 2017 My Price 10.00

What is the probability of judging the coin biased when it is actually fair

7.58 A coin is spun 25 times. Let be the number of spins that result in heads (H). Consider the following rule for deciding whether or not the coin is fair:

Judge the coin fair if 8 17.

Judge the coin biased if either 7 or > 18.

a.    What is the probability of judging the coin biased when it is actually fair?

b.    What is the probability of judging the coin fair when P(H) = .9, so that there is a substantial bias? Repeat for P(H) = .1.

c.    What is the probability of judging the coin fair when P(H) = .6? when P(H) = .4? Why are the probabilities so large compared to the probabilities in Part (b)?

d.    What happens to the “error probabilities” of Parts (a) and (b) if the decision rule is changed so that the coin is judged fair if 7 18 and unfair otherwise? Is this a better rule than the one first proposed? Explain.

 

 

 

Answers

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Status NEW Posted 09 May 2017 11:05 AM My Price 10.00

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Attachments

file 1494328794-Answer.docx preview (185 words )
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