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we got a review to for a final and i dont understand how to do this problem. If you could help me that would be great.

A tire manufacturer produces tires that have a mean life of at least 25000 miles when the production process is working properly/ Based on past experience, the standard deviation of the tires is 3500 miles and the tire life is normally distributed. The operations manager stops the production process if there is evidence that the population mean tire life is below 2500 miles. If you select a random sample of 100 tires and you are willing to have an alpha =.05 risk committing a type 1 error, compute the power of the test and probability of type 2 error if the population mean life is actually 24000 miles. What if is 24900?

If you could show me how to do the 24000 and i can use your example to do the second, that would be great.

Thanks

Answer
We are given µ = 25,000 and σ = 3,500.

It looks like the point of interest is 2,500.

For 100 tires, it will not show at all for µ is still 25,000 and now σ would be 3,500/√100 = 3,500/10 = 350.

That would put 2500 at a distance of 22,500 from the mean.
When that is divided by σ, a large number is gotten (anything over 5 is really large in the normal), so the probability is 0.

For the type 2 errors, I believe you look at the chance of acceptance given the error is true.

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