60 pt 1plz help Ax ✓ foxBDENGAWNINGAWN10Factor for R ChartNumber of Factor for Lower UpperObservations x-bar Control Controlin Subgroup ChartLimitLimitA₂D3DA1216Exhibit 10.13-Factor for Determining 3-Sigma Limits for R-bar and x-bar Charts1718(19201.881.020.730.580.480.420.370.34D0.310.290.270.250.240.220.210.200.190.190.180.000.000.000.000.000.080.140.180.220.260.280.31E0.330.350.360.380.390.400.413.272.572.282.112.001.921.861.821.781.741.721.69F1.671.651.641.621.611.601.59GH esResistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up to produce a large run ofresistors of 1,000 ohms each. Use Exhibit 10.13.To set up the machine and to create a control chart to be used throughout the run, 15 samples were taken with four resistors in eachsample. The complete list of samples and their measured values are as follows: Use three-sigma control limits.SAMPLENUMBER123456789101112131415READINGS (IN OHMS)1,0141,014973981996972986994983 1,0221,0079891,0221,015 988 1,0201,013 9981,0201,0279901,0021,021986 998977995 1,026 1,016 1,0021,0239939909911,012 1,0081,0029981,023987 1,0171,018 1,005 1,0181,0071,0079929989789829869841,012 1,023 1,001 1,0031234Sample Number987993a. Calculate the mean and range for the above samples.Note: Round "Mean" to 2 decimal places and "Range" to the nearest whole number.567891011121314151,001972983994MeanRange

Range = Maximum sample value - Minimum sample valueMean = Average of readings in a sample only part…

Answered: a. Calculate the mean and range for the…

a. Calculate the mean and range for the above samples. Note: Round "Mean" to 2 decimal places and "Range" to the nearest whole number. Sample Number 1 2 3 4 5 6 7 8 9 10 11 12 13 Mean Range

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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Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up to produce a large run of resistors of 1,000 ohms each. Use Exhibit 13.7. To set up the machine and to create a control chart to be used throughout the run, 15 samples were taken with four resistors in each sample. The complete list of samples and their measured values are as follows: Use three-sigma control limits. c. Determine the UCL and LCL for a X−X− chart. (Round your answers to 3 decimal places.) d. Determine the UCL and LCL for R-chart. (Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 3 decimal places.)
A Quality Analyst wants to construct a control chart for determining whether three machines, all producing the same product, are under control with regard to a particular quality variable. Accordingly, he sampled four units of output from each machine, with the following results : Machine #1 measurements [14, 13, 24, 22]; Machine #2 measurements [ 14, 19, 23, 14]; Machine #3 measurements [ 14, 16, 13, 16]. Using the factors for three sigma control limits, what are x-bar chart upper and lower control limits? a. 24.65and 9.013 b. 22.43and 11.24 c. 18.9and 14.76 d. 39.83and -6.167
An automatic filling machine is used to fill 1-liter bottles of cola. The machine’s output is approximately normal with a mean of 1.0 liter and a standard deviation of .01 liter. Output is monitoredusing means of samples of 25 observations.a. Determine upper and lower control limits that will include roughly 97 percent of the samplemeans when the process is in control.b. Given these sample means: 1.005, 1.001, .998, 1.002, .995, and .999, is the process in control?
A Quality Analyst wants to construct a control chart for determining whether three machines, all producing the same product, are under control with regard to a particular quality variable. Accordingly, he sampled four units of output from each machine, with the following results: For upper and lower control limits of 23.29 and 16.71, which machine(s), if any, appear(s) to have an out-of-control process mean?
The following data represents the number of weld defects observed in 24 samples of five printed circuit boards: 7 6 8 10 24 6 5 4 8 11 15 8 4 16 11 12 8 6 5 9 7 14 8 21. a) Using all the data, calculate the control limits. b) Can it be concluded that the process is in control? If not, suppose they can find the assignable causes, and recalculates the control limits once out of control points eliminated.
McDaniel Shipyards wants to develop control charts to assess the quality of its steel plate. They take ten sheets of 1" steel plate and compute the number of cosmetic flaws on each roll. Each sheet is 20' by 100'. Based on the following data, develop limits for the control chart, plot the control chart, and determine whether the process is in control. Sheet Number of flaws 1 1 2 1 3 2 4 0 5 1 6 5 7 0 8 2 9 0 10 2
The overall average on a process you are attempting to monitor is 60.0 units. The process population standard deviation is 1.72. Sample size is given to be 4. Part 2 a) Determine the 3-sigma x-chart control limits. Upper Control Limit (UCLx)=enter your response here units (round your response to two decimal places). Part 3 Lower Control Limit (LCLx)=enter your response here units (round your response to two decimal places). Part 4 b) Now determine the 2-sigma x-chart control limits. Upper Control Limit (UCLx)=enter your response here units (round your response to two decimal places). Part 5 Lower Control Limit (LCLx)=enter your response here units (round your response to two decimal places). Part 6 How do the control limits change? A. The control limits are tighter for the 3-sigma x-chart than for the 2-sigma x-chart. B. The control limits for the 2-sigma x-chart and for the 3-sigma x-chart are the same. C. The control limits…
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An automatic filling machine is used to fill 1-liter bottles of cola. The machine’s output is approximately normal with a mean of 1.0 liter and standard deviation of .01 liter. Output is monitored using means of samples of 25 observations. Determine upper and lower control limits that will include roughly 97% of the sample means when the process is in control. Using Appendix B, Table A to find the value of Z corresponding to the mean control limits.
1. The overall average on a process you are attempting to monitor is 55.0 units. The process population standard deviation is 1.84. Sample size is given to be 16. a) Determine the 3-sigma x-chart control limits. Upper Control Limit (UCLx)=56.3856.38 units (round your response to two decimal places). Lower Control Limit (LCLx)=53.6253.62 units (round your response to two decimal places). b) Now determine the 2-sigma x-chart control limits. Upper Control Limit (UCLx)=? units (round your response to two decimal places). 2. Sample Size, n Mean Factor, A2 Upper Range, D4 Lower Range, D3 2 1.880 3.268 0 3 1.023 2.574 0 4 0.729 2.282 0 5 0.577 2.115 0 6 0.483 2.004 0 7 0.419 1.924 0.076 8 0.373 1.864 0.136 9 0.337 1.816 0.184 10 0.308 1.777 0.223 12 0.266 1.716 0.284 Thirty-five samples of size 7 each were taken from a…
Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma) LOADING... for this problem. Ross Hopkins is attempting to monitor a filling process that has an overall average of 725 mL. The average range R is 6 mL. For a sample size of 10, the control limits for 3-sigma x chart are: Upper Control Limit (UCLx) = nothing mL (round your response to three decimal places).
The Big Black Bird Company produces fiberglass camper tops. The process for producing the tops must be controlled so as to keep the number of dimples low. When the process was in control, the defects shown to the right were found in 10 randomly selected camper tops over an extended period of time. Top Dimples 1 7 2 8 3 12 4 9 5 4 6 14 7 7 8 3 9 6 10 8 a. Assuming 10 observations are adequate for this purpose, determine the three-sigma control limits for dimples per camper top. The UCLc equals nothing and theLCLc equals nothing. (Enter your responses rounded to two decimal places. If your answer for LCLc is negative, enter this value as 0.) b. Suppose that the next camper top has 16 dimples. What can you say about the process now? A. The number of defects is greater than the upper control limit, so it is assumed that the process is in…