please help me The manager of a warehouse monitors the volume of shipments made by thedelivery team. The automated tracking system tracks every package as itmoves through the facility. A sample of 25 packages is selected and weighedevery day. On the basis of contracts with customers, the mean weight shouldbe μ = 22 pounds with o=5 pounds.HMark the statement below as True or False. If you believe that the statementis false, briefly say why you think it is false.To have a small chance of for a Type II error, the manager of the warehouseshould locate the control limits in the X-bar chart at 22 ± 3 pounds.Choose the correct answer below.A. TrueFalse, this would focus attention on a Type I error and ignore the risk fora Type II error.O B.O C.O D.False, this would ignore the risk for both a Type I and a Type Il error.False, the control limits do not affect the chance of a Type II erroroccurring. Which is more likely to contain µ, the z-interval X± 1.960/√n or the t-intervalX±to.025, n-1S/√√n? Assume that the population variable x is normallydistributed.Choose the correct answer below.A. Both intervals are equally likely to contain μ with probability≈ 0.95.B. The interval X ±to.025, n - 1S/√n has a higher probability of containing µ.OC. The interval X± 1.960/√n has a higher probability of containing μ.

The question related to quality control and confidence interval.A manager of the warehouse monitors…

The manager of a warehouse monitors the volume of shipments made by the delivery team. The automated tracking system tracks every package as it moves through the facility. A sample of 25 packages is selected and weighed every day. On the basis of contracts with customers, the mean weight should be μ = 22 pounds with o = 5 pounds. Mark the statement below as True or False. If you believe that the statement is false, briefly say why you think it is false. To have a small chance of for a Type II error, the manager of the warehouse should locate the control limits in the X-bar chart at 22 +3 pounds. Choose the correct answer below. A. True O B. False, this would focus attention on a Type I error and ignore the risk for a Type II error. O C. O D. False, this would ignore the risk for both a Type I and a Type II error. False, the control limits do not affect the chance of a Type Il error occurring.