Question Viewer 's, Inc., makes custom western shirts. The shirts could be flawed invarious ways, including flaws in the weave or color of the fabric, loose buttonsor decorations, wrong dimensions, and uneven stitches. Jim randomly examined10 shirts, with the following results shown to the right.ShirtDefects172306131151260845678 10910a. Assuming that 10 observations are adequate for these purposes, determine the three-sigma control limits for defects per shirt.The UCL equals and the LCL equals (Enter your responses rounded to two decimal places. If your answer for LCL is negative, enter this value as0.)

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Answered: Question Viewer 's, Inc., makes custom…

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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b) The data in Table 4(b) shows the number of nonconforming ties in a sample of size 500, following 100% inspection, over 20 days; Number of Day Nonconformities 1 13 10 25 4 12 12 6. 9 7 11 8. 13 9. 11 10 16 11 13 12 10 13 14 14 15 15 10 16 17 17 18 12 19 12 20 13 Table 4(b) Page 6 of 8 i. Calculate the UCL and LCL for this data ii. Plot a fraction non-conforming control chart for the data. If there are any points that plot outside of the control limits, assume assignable causes can be found and recalculate the limits. ii.
DEFINE: Typical descriptive research measuring tools 1. Descriptive statistics 2. Frequency table (with frequency and percent) 3. Charts (pie chart, bar chart, histogram, etc.) 4. Mean interpretation table (with the scale, its range for measurement purposes, scale description, and the mean interpretation) Typical correlational and comparative research measuring tools 1. Correlations 2. t-Test (paired samples, independent samples t-test) – for independent samples t-test, the grouping variable should be two categories only. 3. Analysis of variance (ANOVA) 4. Scales reliability test (interval or ratio scaled data) 5. Factor analysis 6. Normality test 7. Multiple regression analysis
Question 2: The account receivable department of R&W Company has received complaints from manycustomers about incorrect billing, i.e., the bills do not reflect the materials that arrived at their receivingdocks. The department has decided to implement statistical process control in its billing process. Randomsamples of 60 bills each were taken over 8 days and the items on the bills checked against the bill of ladingsent by the company’s shipping department to determine the number of incorrect bills. The observationis given below: Day 1 2 3 4 5 6 7 8 No. of Incorrect Bills 3 13 5 12 9 1 3 2 a. You want to develop appropriate control chart(s) to check whether the process is in control.i. Find the control limitsii. Plot the control chart(s) in excel.b. Is the process in control? Give reason for your answer.
REPOSTING QUESTION FOR PART 2 Consider the following table: SS DF MS Test Statistic Among Treatments 1664.4 Error ? 11 370.45 Total 16 Step 4 of 8: Calculate the value of the test statistic. Please round your answer to two decimal places. Step 5 of 8: What is the sum of squares of sample means about the grand mean? Please round your answer to two decimal places. Step 6 of 8: What is the variation of the individual measurements about their respective means? Please round your answer to two decimal places. Step 7 of 8: What is the critical value at the 0.05 level? Please round your answer to four decimal places, if necessary. Step 8 of 8: Is the test statistic significant at 0.05?
QUESTION 1 My Happy Feet Company manufactures athletic shoes. The company wants to establish a p chart to monitor the production process using Z=3.00. The company has taken a sample of 50 shoes every 4 hours for a work week of five days. Since the company runs two 8-hour shifts each day, this will result in 20 samples. The sample results are as follows. Sample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Number of Defectives 0 1 0 3 2 5 3 2 1 0 4 1 1 2 2 3 4 1 5 2 23.00 Answer these questions: a. Construct a p-chart to monitor this process. b. Plot the p-chart graph. c. indicate if the process was out of control at any time
1. Five data entry operators work at the data processing department of the Royal Bank. Each day for 30 days, the number of defective records in a sample of 250 records typed by these operators has been noted, as follows: Sample No. No. Defective Sample No. No. Defective Sample No. No. Defective 1 18 11 17 21 7 2 5 12 12 22 5 3 16 13 6 23 19 4 4 14 7 24 10 5 11 15 13 25 11 6 8 16 10 26 8 7 12 17 4 27 12 8 4 18 6 28 9 9 6 19 12 29 6 10 16 20 3 30 13 Establish 3σ upper and lower control limits. Why can the lower control limit not be a negative number? The industry standards for the upper and lower control limits are 0.11 and 0.02, respectively. What does this imply about Royal Bank’s own standards?
Pm.12
Question content area Part 1 Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma) LOADING... for this problem. Twelve samples, each containing five parts, were taken from a process that produces steel rods at Emmanual Kodzi's factory. The length of each rod in the samples was determined. The results were tabulated and sample means and ranges were computed. The results were: Sample Sample Mean (in.) Range (in.) Sample Sample Mean (in.) Range (in.) 1 12.202 0.033 7 12.203 0.041 2 12.202 0.041 8 12.205 0.034 3 12.193 0.034 9 12.193 0.027 4 12.206 0.051 10 12.203 0.029 5 12.195 0.031 11 12.203 0.039 6 12.199 0.036 12 12.204 0.047 Part 2 For the given data, the x = enter your response here inches (round your response to four…
Jim's Outfitters, Ic., makes custom western shirts. The shirts could be flawed in various ways, including flaws in the weave or color of the fabric, loose buttons or decorations, wrong dimensions, and uneven stitches. Jim randomly examined 10 shirts, with the following results shown to the right. Shirt Defects 1 10 3 9 11 5 3 6 9 7 3 8 6 9 10 7 a. Assuming that 10 observations are adequate for these purposes, determine the three-sigma control limits for defects per shirt. The UCL, equals and the LCL. equals| (Enter your responses rounded to two decimal places. If your answer for LCL, is negative, enter this value as 0.)
A. Five data entry operators work at the data processing department of the Birmingham Bank. Each day for 30 days, the number of defective records in a sample of 350 records typed by these operators has been noted, as follows: Sample No. No. Defectives Sample No. No. Defectives Sample No. No. Defectives 1 8 11 7 21 16 2 5 12 5 22 11 3 19 13 15 23 6 4 10 14 3 24 6 5 10 15 12 25 13 6 7 16 7 26 11 7 11 17 12 27 15 8 9 18 3 28 6 9 7 19 18 29 12 10 12 20 16 30 4 a) Establish 3σ upper and lower control limits. UCLp = nothing (enter your response as a number between 0 and 1, rounded to three decimal places). B. Peter Ittig's department store, Ittig Brothers, is Amherst's largest independent…
1. Five data entry operators work at the data processing department of the Birmingham Bank. Each day for 30 days, the number of defective records in a sample of 350 records typed by these operators has been noted, as follows: Sample No. No. Defectives Sample No. No. Defectives Sample No. No. Defectives 1 8 11 7 21 16 2 5 12 5 22 11 3 19 13 15 23 6 4 10 14 3 24 6 5 10 15 12 25 13 6 7 16 7 26 11 7 11 17 12 27 15 8 9 18 3 28 6 9 7 19 18 29 12 10 12 20 16 30 4 a) Establish 3σ upper and lower control limits. UCLp = . 055.055 (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).
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