Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00. Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00. Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00. Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00. Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00. Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00. Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00. Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00. Bottles of water produced on a particular filling line should each contain 16.9 ounces of water. Suppose that the volumes of water in the bottles are known to follow a normal distribution with a variance of o = 0.2 ounces. To investigate whether the bottles produced on this filling line achieve the advertised volume, the facility manager measures the volumes of fifteen randomly-selected bottles of water produced during a particular week (shown below, in ounces) and conduct a hypothesis test on the mean fill volume (Ho: u = 16.9 ounces, H: # 16.9 ounces): 16.638, 16.402, 17.128, 16.124, 16.964, 16.411, 16.649, 16.419, 17.180, 16.473, 15.816, 16.485, 17.080, 16.251, 16.786 Formulate the test, given a = 0.05, and then conduct the hypothesis test using the given data. Compute the P-value for your data for this test. Does your result agree with your answer to Part (a)? Create a two-sided 95% confidence interval for u. Does this confidence interval support your conclusion in Part (a)? Compute the power of the test if the true mean is u = 16.7 ounces. Plot an operating characteristic curve for this test (for the given sample size) for values of 8/o from 0.01 to 3.00.