The Goodman Tire and Rubber Company periodically tests its tires for tread wear under simulated road conditions. To study and control the manufacturing process, 20 samples, each containing threeradial tires, were chosen from different shifts over several days of operation, with the following results. Tread wear measurements are in hundredths of an inch.SampleTread Wear13142282618353253034417252138293541423672117298.3226289.4134331029173011263140122319251317243214433517151825291630423117283632184029311918292820223426 Compute the upper and lower control limits for the R chart. (Round your answers to two decimal places.)UCL =LCL =Construct the R chart.353535+UCL30303025252020UCLUCL151515101010LCL5-55LCLLCL+4 68 10 12 14 16 18 204 6 8 10 12 14 16 18 202 46 8 10 12 14 16 18 20Sample NumberSample NumberSample Number353025UCL201510LCL+248 10 12 14 16 18 20Sample NumberiAssuming that these data were collected when the manufacturing process was believed to be operating in control, develop the x chart.Compute the upper and lower control limits for the x chart. (Round your answers to two decimal places.)UCL =LCL =Construct the x chart.Sample RangeSample RangeSample RangeSample Range

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The Goodman Tire and Rubber Company periodically tests its tires for tread wear under simulated road conditions. To study and control the manufacturing process, 20 samples, each containing three radial tires, were chosen from different shifts over several days of operation, with the following results. Tread wear measurements are in hundredths of an inch. Sample Tread Wear 1 31 42 28 | 26 18 35 | 25 30 34 | 17 25 21 3 4 5 38 29 35 | 41 42 36 | 21 17 29 | 32 26 28 6 8 9 41 34 33 10 29 17 30 11 26 31 40 12 23 19 25 13 17 24 32 14 43 35 17 15 18 25 | 29 16 30 42 31 17 28 36 32 18 40 29 31 19 18 29 28 20 22 34 26

The Goodman Tire and Rubber Company periodically tests its tires for tread wear under simulated road conditions. To study and control the manufacturing process, 20 samples, each containing three radial tires, were chosen from different shifts over several days of operation, with the following results. Tread wear measurements are in hundredths of an inch. Sample Tread Wear 1 31 42 28 | 26 18 35 | 25 30 34 | 17 25 21 3 4 5 38 29 35 | 41 42 36 | 21 17 29 | 32 26 28 6 8 9 41 34 33 10 29 17 30 11 26 31 40 12 23 19 25 13 17 24 32 14 43 35 17 15 18 25 | 29 16 30 42 31 17 28 36 32 18 40 29 31 19 18 29 28 20 22 34 26

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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It costs more to produce defective items—since they must be scrapped or reworked—than it does to produce non-defective items. This simple fact suggests that manufacturers should ensure the quality of their products by perfecting their production processes instead of depending on inspection of finished products (Deming, 1986). In order to better understand a particular metal stamping process, a manufacturer wishes to estimate the mean length of items produced by the process during the past 24 hours. a. How many parts should be sampled in order to estimate the population mean to within .2 millimeter (mm) with 95% confidence? Previous studies of this machine have indicated that the standard deviation of lengths produced by the stamping operation is about 2 mm. b. Time permits the use of a sample size no larger than 225. If a 95% confidence interval for m is constructed with n = 225, will it be wider or narrower than would have been obtained using the sample size determined in part a?…