Question

A pharmacist uses a new machine which is supposed to fill bottles with exactly 12 ounces of cough syrup. In order to test the accuracy of his new machine, the pharmacist obtains a random sample of 40 filled bottles of cough syrup. He finds that this sample of bottles has a mean weight of 11.98 ounces, and this sample has a standard deviation of 0.062 ounces. At the 5% level of significance, test his claim that the average bottle of cough syrup produced by the new machine is not significantly different from the 12 ounce target weight. In the previous problem, you formed the null and alternative hypotheses for this hypothesis test. Now find the P-value for this test, and use it to determine if the new machine is producing bottles of cough syrup that have an average weight significantly different from the 12 ounce target. A. The P - value = 0.0481, (do not reject H0). We can say that there is no statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine appears to be accurately making 12 ounce bottles. B. The P - value = 0.0413, (reject H0). We can say that there is a statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine does not appear to be accurately making 12 ounce bottles. C. The P - value = 0.0481, (reject H0). We can say that there is a statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine does not appear to be accurately making 12 ounce bottles. D. The P - value = 0.0413, (do not reject H0). We can say that there is no statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine appears to be accurately making 12 ounce bottles.

A pharmacist uses a new machine which is supposed to fill bottles with exactly 12 ounces of cough syrup. In order to test the accuracy of his new machine, the pharmacist obtains a random sample of 40 filled bottles of cough syrup. He finds that this sample of bottles has a mean weight of 11.98 ounces, and this sample has a standard deviation of 0.062 ounces. At the 5% level of significance, test his claim that the average bottle of cough syrup produced by the new machine is not significantly different from the 12 ounce target weight.

In the previous problem, you formed the null and alternative hypotheses for this hypothesis test.

Now find the P-value for this test, and use it to determine if the new machine is producing bottles of cough syrup that have an average weight significantly different from the 12 ounce target.

A. The P - value = 0.0481, (do not reject H0). We can say that there is no statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine appears to be accurately making 12 ounce bottles.

B. The P - value = 0.0413, (reject H0). We can say that there is a statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine does not appear to be accurately making 12 ounce bottles.

C. The P - value = 0.0481, (reject H0). We can say that there is a statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine does not appear to be accurately making 12 ounce bottles.

D. The P - value = 0.0413, (do not reject H0). We can say that there is no statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine appears to be accurately making 12 ounce bottles.

A pharmacist uses a new machine which is supposed to fill bottles with exactly 12 ounces of cough syrup. In order to test the accuracy of his new machine, the pharmacist obtains a random sample of 40 filled bottles of cough syrup. He finds that this sample of bottles has a mean weight of 11.98 ounces, and this sample has a standard deviation of 0.062 ounces. At the 5% level of significance, test his claim that the average bottle of cough syrup produced by the new machine is not significantly different from the 12 ounce target weight.

In the previous problem, you formed the null and alternative hypotheses for this hypothesis test.

Now find the P-value for this test, and use it to determine if the new machine is producing bottles of cough syrup that have an average weight significantly different from the 12 ounce target.

A. The P - value = 0.0481, (do not reject H0). We can say that there is no statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine appears to be accurately making 12 ounce bottles.

B. The P - value = 0.0413, (reject H0). We can say that there is a statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine does not appear to be accurately making 12 ounce bottles.

C. The P - value = 0.0481, (reject H0). We can say that there is a statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine does not appear to be accurately making 12 ounce bottles.

D. The P - value = 0.0413, (do not reject H0). We can say that there is no statistically significant difference between the mean weight of the bottles produced by the new machine and the 12 ounces they are supposed to weigh. The new machine appears to be accurately making 12 ounce bottles.

Added by Julie M.

Question

Please give Ace some feedback