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 25 cans and finds that they average 128.2 ounces with a standard deviation of 2 ounces. Is this strong evidence that the filling machine is set too high and thus is no longer calibrated properly? a). Give the correct null and alternative hypotheses.
b). If the null hypothesis is true, the sampling distribution has a mean: a standard deviation: and c). The standard score for the data: d). Find the P-value for this significance test: e). Do you reject or do you not reject the null hypothesis? f). Choose the correct final conclusion in the context of the problem. Level of significance is 0.05. A). There is not enough evidence to suggest that the machine is set too high and not calibrated properly. B). There is enough evidence to suggest that the machine is set too high and is not calibrated properly.