The capability of a process is known to relatively capable and the producer wants to use a pre-control to help assure it remains in control. The specication for an important dimension of the product under consideration is 1.25" to 1.75" Where should the pre-control lines be set? Da 125 b.1.325 Oc. 1.35 Od 1.375 De 145 Of 15 Dg 1.55 Oh.1625 OL 1.05 O. 1675 Ok175

The capability of a process is known to relatively capable and the producer wants to use a pre-control to help assure it remains in control. The specication for an important dimension of the product under consideration is 1.25" to 1.75" Where should the pre-control lines be set? Da 125 b.1.325 Oc. 1.35 Od 1.375 De 145 Of 15 Dg 1.55 Oh.1625 OL 1.05 O. 1675 Ok175

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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4. A Quality Analyst wants to construct variable control chart to check if the packagıng process 1s under control Below is information about the five samples selected by the quality analyst Sample X-bar R 1 8.51 0.44 2 8.37 0.58 8.42 0.66 4 8.61 0.47 15 8.54 0.60 If the lower control limit for X-bar chart is 8 34, what is the sample sıze?
Control charts for X-bar and R are maintained for the tensile strength of fibers used in composite materials. The specifications are 440+40. After 25 samples of size n=10 are analyzed, we find that: 25 25 X¡ = 12,870 Ri = 1,350 i=1 What are the limits of the R chart? UCL=65.54 and LCL=2.56 UCL=74.97 and LCL=9.41 UCL=79.96 and LCL=10.03 UCL=95.96 and LCL=12.04 UCL=72.82 and LCL=2.85
Auto pistons at Wemming Chung's plant in Shanghai are produced in a forging process, and the diameter is a critical factor that must be controlled. From sample sizes of 10 pistons produced each day, the mean and the range of this diameter have been as follows: a) What is the value of X? x= mm (round your response to two decimal places). Day 1 2 3 4 5 Mean x (mm) 158.9 155.2 155.6 157.5 156.6 Range R (mm) 4.2 4.4 4.3 4.8 4.3
2 F1 2 W A manufacturer produces flat-screen TVs, each of which may have some defective pixels. The average number of defective pixels per TV is known to be 1.7. The upper control limit is three standard deviations above the mean. What is the upper control limit? OA.9.6 F2 OB.5.6 OC. 7.8 OD.8.9 OE. 6.6 OF. 7.0 OG.4.5 A Moving to another question will save this response. #3 80 F3 E DOD 000 F4 $ 4 R % 5 AA F5 T C MacBook Air A 6 Y 887 ◄◄ & H ► 11 *00 8 J FB ( A 9 F9 K 1 0 F10 << Question 34 of 42 F11 + F12 ¿
6. The defect rate for your product has historically been about 4.50%. For a sample size of 500, the upper and lower 3-sigma control chart limits are: Part 2 UCLp = _______ (enter your response as a number between 0 and 1, rounded to four decimal places). The Standard deviation of defect rate of product is given __________. The Upper and Lower 3-sigma control charts limits are: UCLp ________ LCLp ________
1. Boxes of Honey-Nut Oatmeal are produced to contain 16.0 ounces, with a standard deviation of 0.10 ounce. For a sample size of 64, the 3-sigma x chart control limits are: Part 2 Upper Control Limit (UCLx)= _______ (round your response to two decimal places). Lower Control Limit (LCLx)= _______ (round your response to two decimal places).
What is the sample t-statistic and the critical t-value? Count Design A Design B Di = Xi - X'i 1 135.20 108.40 26.80 2 203.10 190.30 12.80 3 208.20 170.20 38.00 4 141.70 109.10 32.60 5 244.30 217.80 26.50 6 164.10 172.70 -8.60 7 266.90 224.40 42.50 8 130.20 112.00 18.20 9 138.90 92.30 46.60 10 171.20 131.60 39.60 Sample mean= 180.38 152.88 27.50 Sample standard deviation= 48.29 48.43 16.60
Using samples of 200 credit card statements, an auditor found the following: Sample 1 2 3 4 Number with errors 4 2 5 9 a. Determine the fraction defective in each sample. b. If the true fraction defective for this process is unknown, what is your estimate of it? c. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size? d. What control limits would give an alpha risk of .03 for this process? Page 457 e. What alpha risk would control limits of .047 and .003 provide? f. Using control limits of .047 and .003, is the process in control? g. Suppose that the long-term fraction defective of the process is known to be 2 percent. What are the values of the mean and standard deviation of the sampling distribution? h. Construct a control chart for the process, assuming a fraction defective of 2 percent, using two-sigma control limits. Is the process in control? Can you show me the steps and formulas using excel
1. Boxes of Honey-Nut Oatmeal are produced to contain 14.0 ounces, with a standard deviation of 0.10 ounce. For a sample size of 64, the 3-sigma x chart control limits are: Upper Control Limit (UCLx) = 14.0414.04 ounces (round your response to two decimal places). Lower Control Limit (LCLx) =?ounces (round your response to two decimal places). 2. 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)=? units (round your response to two decimal places). 3. Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma) LOADING... for this problem. Thirty-five samples of size 7 each were taken from a fertilizer-bag-filling machine at Panos Kouvelis Lifelong Lawn Ltd.…
Jamison Kovach Supply Company manufactures paper clips and other office products. Although inexpensive, paper clips have provided the firm with a high margin of profitability. Sample size is 50. Results are given for the last 10 samples. Sample 1 2 3 4 5 6 7 8 9 10Defectives 5 8 3 5 6 5 5 4 1 11 a) Establish the control limits to include of the random variation in defectives. UCLp = [ ? ] (enter your response as a number between 0 and 1, rounded to three decimal places). LCLp = [ ? ] (enter your response as a number between 0 and 1, rounded to three decimal places). c) If the sample size were 100 instead, how would your limits and conclusions change? UCLp = [ ? ] (enter your response as a number between 0 and 1, rounded to three decimal places). LCLp = [ ? ] (enter your response as a number between 0 and 1, rounded to three…
Using samples of 200 credit card statements, an auditor found the following:Sample 1 2 3 4Number with errors 4 2 5 9a. Determine the fraction defective in each sample.b. If the true fraction defective for this process is unknown, what is your estimate of it?c. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size?d. What control limits would give an alpha risk of .03 for this process?e. What alpha risk would control limits of .047 and .003 provide?f. Using control limits of .047 and .003, is the process in control?g. Suppose that the long-term fraction defective of the process is known to be 2 percent. What arethe values of the mean and standard deviation of the sampling distribution?h. Construct a control chart for the process, assuming a fraction defective of 2 percent, using twosigma control limits. Is the process in control?
Control charts for X-bar and R are maintained for the tensile strength of fibers used in composite materials. The specifications are 440+40. After 36 samples of size n=7 are analyzed, we find that: 36 36 X¡ = 12,870 Ri = 1,350 i=1 What are the limits of the X-bar chart? UCL=442.86 and LCL=415.14 UCL=531.43 and LCL=498.17 UCL=415.18 and LCL=389.19 UCL=373.21 and LCL=341.79 UCL=335.89 and LCL=307.61