Question

In: Statistics and Probability

A paint manufacturer fills cans of paint using a machine that has been calibrated to fill...

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 100 cans and finds that they average 128.2 ounces with a sample standard deviation of 4 ounces, and the volume of paint in the cans is normally distributed. Is this strong evidence that the can- filling machine is set too high? Carry out the appropriate hypothesis test at the α = 5% level.

e) Find the probability of a Type II error if, in fact, μ = 129. Suppose we can assume σ = 4.

f) What would happen to the probability of a Type II error if μ was even further away from the hypothesized value of 128?

g) What is the probability of a Type I error?

Solutions

Expert Solution


Related Solutions

A machine used to fill​ gallon-sized paint cans is regulated so that the amount of paint...
A machine used to fill​ gallon-sized paint cans is regulated so that the amount of paint dispensed has a mean of 124 ounces and a standard deviation of 0.40 ounce. You randomly select 40 cans and carefully measure the contents. The sample mean of the cans is 123.9 ounces. Does the machine need to be​ reset? Explain your reasoning. (Yes/No)______, it is (likely/ very unlikely) _____ that you would have randomly sampled 40 cans with a mean equal to 123.9...
In a plant that fills 12 ounce cans of soda, the mean fill amount with the...
In a plant that fills 12 ounce cans of soda, the mean fill amount with the current machinery is 12.2 ounces with a standard deviation of 0.03 ounces. A new machine is said to be more accurate, so the company tested this new machine on a run of 10 cans, and obtained the following fill amounts: 12.03 12.10 12.02 11.92 12.10 12.00 12.05 11.97 11.99 11.87 Test the claim that the standard deviation of the new machine is lower than...
A machine that fills beverage cans is supposed to put 12 ounces of beverage in each...
A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. Following are the amounts measured in a simple random sample of eight cans. 11.96 12.10 12.04 12.13 11.98 12.05 11.91 12.03 Perform a hypothesis test to determine whether the mean volume differs from 12 ounces. Use a 0.05 level of significance. Also construct a 99% confidence interval for the data. The null and alternative hypothesis, The test statistic, The p-value of the test,...
A machine that fills beverage cans is supposed to put 12 ounces of beverage in each...
A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. Following are the amounts measured in a simple random sample of eight cans. 11.96 12.10 12.04 12.13 11.98 12.05 11.91 12.03 Perform a hypothesis test to determine whether the mean volume differs from 12 ounces. Use a 0.05 level of significance. Also construct a 99% confidence interval for the data. The null and alternative hypothesis, The test statistic, The p-value of the test,...
A machine that fills beverage cans is suppose to put 24 ounces of beverage in each...
A machine that fills beverage cans is suppose to put 24 ounces of beverage in each can. The following amounts are the amounts measured in random sample of eight cans. 24.00 23.94 23.96 23.98 23.92 23.90 23.83 23.95 assume the sample is normal. Can you conclude that the mean volume differs from 24 ounces? Use α=0.1level of significance. A. Yes the mean fill volume appears to differ from 24 ounces. B. There is not enough information to draw a conclusion....
A machine that fills beverage cans is supposed to put 12 ounces of beverage in each...
A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. Following are the amounts measured in a simple random sample of eight cans: 12.15 12.17 12.20 11.88 12.16 12.04 12.05 12.11 Perform a hypothesis test to determine whether the mean volume is greater than 12 ounces. Use the α=0.05 level of significance and the critical value method. Compute the value of the test statistic. Round the answer to three decimal places. t=?
A soda bottling plant fills cans labeled to contain 12 ounces of soda. The filling machine...
A soda bottling plant fills cans labeled to contain 12 ounces of soda. The filling machine varies and does not fill each can with exactly 12 ounces. To determine if the filling machine needs adjustment, each day the quality control manager measures the amount of soda per can for a random sample of 50 cans. Experience shows that its filling machines have a known population standard deviation of 0.35 ounces. In today's sample of 50 cans of soda, the sample...
please show all work: A machine that fills beverage cans is supposed to put 12 ounces...
please show all work: A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The standard deviation of the amount in each can is 0.12 ounce. The machine is overhauled with new components, and ten cans are filled to determine whether the standard deviation has changed. Assume the fill amounts to be a random sample from a normal population. 12.14, 12.05, 12.27, 11.89, 12.06, 12.14, 12.05, 12.38, 11.92, 12.14 Perform a hypothesis test...
CASE STUDY CH.6 A spice manufacturer has a machine that fills bottles. The bottles are labeled...
CASE STUDY CH.6 A spice manufacturer has a machine that fills bottles. The bottles are labeled 16 grams net weight so the company wants to have that much spice in each bottle. The company knows that just like any packaging process this packaging process is not perfect and that there will some variation in the amount filled. If the machine is set at exactly 16 grams and the normal distribution applies, then about half of the bottles will be underweight...
CASE STUDY CH.6 DROPBOX ASSIGNMENT A spice manufacturer has a machine that fills bottles. The bottles...
CASE STUDY CH.6 DROPBOX ASSIGNMENT A spice manufacturer has a machine that fills bottles. The bottles are labeled 16 grams net weight so the company wants to have that much spice in each bottle. The company knows that just like any packaging process this packaging process is not perfect and that there will some variation in the amount filled. If the machine is set at exactly 16 grams and the normal distribution applies, then about half of the bottles will...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT