A large beverage company would like to use a statistical process control to monitor how much liquidbeverage it puts into each bottle. The company operated its bottle filling line under careful supervision,confident that the line was under complete control, for seven hours. Each hour, a sample of 20 bottleswas taken off the line and the amount of liquid in each bottle was carefully measured. This is theresulting data:Sample SampleSampleMean (ml) Range (ml)No.#1350.40.5349.60.5#3349.60.7# 4349.50.4#5349.80.5#6350.40.9#7349.80.3Which of the following is closest to the upper control limit on the beverage company's range chart?O A. 0.86 mlO B. 351.15 mlO C. 350.68 mlO D. 1.92 mlO E. 0.5 ml2.%23%23

Answered: Which of the following is closest to…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Describe an r-chart.
Define random sampling error and non samling error, two major type of non sampling error.
At Gleditsia Triacanthos Company, a certain manufactured part is deemed acceptable if its lengthis between 12.45 to 12.55 inches. The process is normally distributed with an average of 12.49inches and a standard deviation of 0.014 inches. A) Is the process capable of meeting specifications? B) Does the process meet specifications?
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The General Manager at Oasis Caleteria Wants to determine how many students use thecafeteria on a regular basis. a)What type of sampling method would he use if he decides to randomly select 20 students in the cafeteria during each of the three lunch periods on Monday? b) Explain, why the sampling method you have mentioned is appropriate.
Organic Grains LLC uses statistical process control to ensure that its health-conscious, low-fat, multigrain sandwich loaves have the proper weight. Based on a previously stable and in-control process, the control limits of the x- and R-charts are: UCL-4.86, LCL- = 4.52, UCLR=1.344, LCLR = 0. Over the past few days, they have taken five random samples of four loaves each and have found the following: Based on the x-chart, is one or more samples beyond the control limits? Sample 1 2 3 4 5 Yes No Loaf # 1 4.8 4.4 4.5 4.6 5.0 Net Weight Loaf # 2 4.7 4.8 4.5 4.9 4.8 Loaf # 3 5.0 4.7 4.9 4.7 4.7 Loaf # 4 4.7 4.8 4.6 4.5 4.6
Suppose that you are using a p chart to monitor the percentage of times that you fail to get phone numbers at bars. Each day for 30 days you ask 15 different people for their phone number. On average, 6 people declined to give you their phone number each day. What would be the upper control limit for the p chart?
4. Organic Grains LLC uses statistical process control to ensure that its health-conscious, low-fat, multigrain sandwich loaves have the proper weight. Based on a previously stable and in-control process, the control limits of the x- and R-charts are: UCLx = 5.35, LCLx = 4.93; UCLR = 0.894, LCLR = 0. Over the past few days, they have taken five random samples of four loaves each and have found the following: Net Weight Sample Loaf # 1 Loaf # 2 Loaf # 3 Loaf # 4 1 4.9 5.2 5.1 5.0 2 5.3 5.1 5.2 5.3 3 4.9 5.2 4.9 5.2 4 5.5 5.5 5.3 5.5 5 5.3 5.2 5.3 5.0 Part 2 Based on the x-chart, is one or more samples beyond the control limits? ▼ No Yes .
What is the difference between tolerances and control limits?
Boxes of Honey-Nut Oatmeal are produced to contain 15.0 ounces, with a standard deviation of 0.10 ounce. For a sample size of 49, the 3-sigma x chart control limits are: Upper Control Limit (UCL) = | ounces (round your response to two decimal places). Lower Control Limit (LCL;) = ounces (round your response to two decimal places).
Lower Control Limit (LCLR) = enter your response here inches (round your response to four decimal places).
Describe various sampling techniques in details with suitable examples.

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