The laboratory at Kingsley medical center received several tests request each day. The test center closes at 3:00pm. The medical center's policy is to close the test taking line 15 minutes before facility closes in this case 2:45pm), so that they can finish performing tests to the customers already in line and end the operations on-time. To improve the process, they have decided to simulate their service operations. To develop a simulation model, they need to identify the distribution of number of customers arriving between 2:30pm to 2:45pm each day for last several days (see the table below for number of days). For the purpose of simulation, they have collected the following data in order to determine the underlying probability distribution [The first entry in the table indicates that there were twenty-five days during which one customer was in the line, 36 days during which two customers were in the line, and so on. Number of Customers Frequency of Occurrence (Number of days) 25 36 24 8 2 Apply the chi-square text to these data to test the hypothesis that the underlying distribution is Poisson. Use the level of significance a=0.01. Complete the following table for your calculation need. Make sure to double check your reported answer, decimal places, and the exact formatting for reporting the results before submission. (Enter your answers in the edit fields only -- there are total eight edit fields. You may need to scroll towards right to see all the edit fields in the table. Enter all responses in numeric value only, with four decimal places). Apply the chiques to the date the hypothesis that the underlying distribution is the level of signi Complete the following while for your calculation. Make sure to check your reportowwe, decimal ples, and the etting for parting them before Enter your with editionly the realiteit is my roll towards right to see all the life in the ball molly with our decimal places) xd OUM OI PL For CN Sal 2 36 14 5 1 bied The laboratory at Kingsley medical center received several tests request each day. The test center closes at 3:00pm. The medical center's policy is to close the test taking line 15 minutes before facility closes in this case 2:45pm), so that they can finish performing tests to the customers already in line and end the operations on-time. To improve the process, they have decided to simulate their service operations. To develop a simulation model, they need to identify the distribution of number of customers arriving between 2:30pm to 2:45pm each day for last several days (see the table below for number of days). For the purpose of simulation, they have collected the following data in order to determine the underlying probability distribution [The first entry in the table indicates that there were twenty-five days during which one customer was in the line, 36 days during which two customers were in the line, and so on. Number of Customers Frequency of Occurrence (Number of days) 25 36 24 8 2 Apply the chi-square text to these data to test the hypothesis that the underlying distribution is Poisson. Use the level of significance a=0.01. Complete the following table for your calculation need. Make sure to double check your reported answer, decimal places, and the exact formatting for reporting the results before submission. (Enter your answers in the edit fields only -- there are total eight edit fields. You may need to scroll towards right to see all the edit fields in the table. Enter all responses in numeric value only, with four decimal places). Apply the chiques to the date the hypothesis that the underlying distribution is the level of signi Complete the following while for your calculation. Make sure to check your reportowwe, decimal ples, and the etting for parting them before Enter your with editionly the realiteit is my roll towards right to see all the life in the ball molly with our decimal places) xd OUM OI PL For CN Sal 2 36 14 5 1 bied
