6) A paint manufacturer fills cans of paint using a machine that has been calibrated to fill the cans to contain an average of 1 gallon (128 ounces) each. To test whether their machine has come out of calibration, the manufacturer takes a random sample of 81 cans and finds that they average 126.9 ounces. Assume the population standard deviation is 3.2 ounces, and the volume of paint in the cans is normally distributed. Is this strong evidence that the can-filling machine is set too low? Carry out the appropriate hypothesis test at the a = 5% %3D level.

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6) A paint manufacturer fills cans of paint using a machine that has been calibrated to fill the
cans to contain an average of 1 gallon (128 ounces) each. To test whether their machine
has come out of calibration, the manufacturer takes a random sample of 81 cans and finds
that they average 126.9 ounces. Assume the population standard deviation is 3.2 ounces,
and the volume of paint in the cans is normally distributed. Is this strong evidence that the
can-filling machine is set too low? Carry out the appropriate hypothesis test at the a = 5%
level.
Transcribed Image Text:6) A paint manufacturer fills cans of paint using a machine that has been calibrated to fill the cans to contain an average of 1 gallon (128 ounces) each. To test whether their machine has come out of calibration, the manufacturer takes a random sample of 81 cans and finds that they average 126.9 ounces. Assume the population standard deviation is 3.2 ounces, and the volume of paint in the cans is normally distributed. Is this strong evidence that the can-filling machine is set too low? Carry out the appropriate hypothesis test at the a = 5% level.
e) Find the probability of a Type II error if, in fact, µ = 127.1. Suppose we can assume o = 3.2.
f) What would happen to the probability of a Type II error if u was even further away from the
hypothesized value of 128?
Transcribed Image Text:e) Find the probability of a Type II error if, in fact, µ = 127.1. Suppose we can assume o = 3.2. f) What would happen to the probability of a Type II error if u was even further away from the hypothesized value of 128?
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