A television manufacturer claims that (at least) 90% of its TV sets will not need service during the first 3 years of operation. A consumer agency wishes to check this claim, so it obtains a random sample of  n = 100  purchasers and asks each whether the set purchased needed repair during the first 3 years after purchase. Let p̂ be the sample proportion of responses indicating no repair (so that no repair is identified with a success). Let p denote the actual proportion of successes for all sets made by this manufacturer. (b) Would you recommend a test procedure that uses ? = 0.10 or one that uses ? = 0.01? Explain.

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A television manufacturer claims that (at least) 90% of its TV sets will not need service during the first 3 years of operation. A consumer agency wishes to check this claim, so it obtains a random sample of 

n = 100

 purchasers and asks each whether the set purchased needed repair during the first 3 years after purchase. Let p̂ be the sample proportion of responses indicating no repair (so that no repair is identified with a success). Let p denote the actual proportion of successes for all sets made by this manufacturer.

(b)
Would you recommend a test procedure that uses ? = 0.10 or one that uses ? = 0.01? Explain.
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