Winston's assembly unit has decided to use a p-Chart with an a risk of 1% to monitor the proportion of defective metal shafts produced by their production process.The production manager randomly samples 200 metal shafts at 16 successively selected time periods and counts the number of defective metal shafts in the sample.TableStep 3 of 8: What is the Upper Control Limit? Round your answer to three decimal places.AnswerHow to entSample Defects12345678910111213141516981212111371211118710137Control Chart10The average of the selected cell(s) is9.000.Copy ValueXCopy TableKeypadard Shortcutsstep answersControl Chartmit Answer

Given sample size n=200Number of time periods k=16The given samples with a number of defects are…

Answered: Winston's assembly unit has decided to…

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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Over a nine-month period, OutdoorGearLab tested hardshell jackets designed for ice climbing, mountaineering, and backpacking. Based on the breathability, durability, versatility, features, mobility, and weight of each jacket, an overall rating ranging from 0 (lowest) to 15 (highest) was assigned to each jacket tested. The following data show the results for 10 top-of-the line jackets (OutdoorGearLab website, February 27, 2013). Answer questions 10-14. Table 2. 5 12 6 8 5 6 7 5 12 4 Question 10 1 Refer to Table 2. The median is
The “promotions manager” of a large cosmetics manufacturer wanted to investigate user acceptance with a new formulation of their popular female facial cream. She organised for a sample of 5,000 users of the new formulation to be selected and sought their feedback on whether they were satisfied with its effects or not. Of the 2800 responses gained, 2,100 indicated that they were satisfied with the new formulation. i. State the name and the value of the statistic that is the best estimate for the proportion of all potential cream users that are satisfied
The government is interested to estimate the proportion of families gathering in the weekends, in a city. The city is divided into three blocks. A stratified random sample of 60 households was selected proportionately from each block considering the blocks as strata. The summary data of the survey are presented in the following table. Stratu Ni m (i) X; Mean Si Pi 1 120 18 35.0 4.0 0.5 0.2 0.9 130 15 20.0 5.0 180 27 30.0 6.0 25 i) Estimate the proportion of family gathering in the weekend, and obtain a 95% confidence interval of your estimate. Interpret the results. ii) Find the appropriate sample size and its allocation for estimating the total family gathering, with a bound of 50 points on the error of estimation. Assume that the stratum standard deviations are o1=8, 02=12 and, o3=4. LO NO LO CO 23
A substance abuse counselor wants to demonstrate the effect of situational stress on alcohol cravings. He recruits two groups of men who are similar in respect to history of alcohol use and demographic variables. He divides them in to two groups. In one group(n=11), the men are exposed to a stressful situation and then asked to complete a measure rating their alcohol cravings on a scale from 0-10, where 0 representsno cravings and 10 represents intense cravings. In the second group (n=10), the men are exposed to a neutral situation and asked to complete the same measure. What test and graph should I create to find out if a stressful situation result in more intense alcohol cravings than a non-stressful situation?
Jane Doe is the proprietor of the brand-new Scarborough, Canada eatery JD Company. It is a restaurant on Jackson Street where you can eat as much as you want. Jane Doe was concerned that his restaurant might not survive the competition given the abundance of pubs and eateries in the vicinity. In order to find out which of the 4Ps of marketing his customers preferred, he decided to organize a survey. Referring to the dataset below, the survey's findings are as follows: Based on the survey, please submit the following information: What is the profile of the respondents in terms of: Education Sex What is the level of importance to the respondent the following attributes of a restaurant in Scarborough, Canada? Product Quality Competitive Price Accessibility Advertising Capability What is the level of customer satisfaction of the respondents of restaurants in Scarborough, Canada? Do the attributes of a restaurant in Scarborough, Canada predict or explain customer…
Determine whether the study depicts an observational study or an experiment. A scientist was studying the effects of a new fertilizer on crop yield. She randomly assigned half of the plots on a farm to group one and the remaining plots to group two. On the plots in group one, the new fertilizer was used for a year. On the plots in group two, the old fertilizer was used. At the end of the year the average crop yield for the plots in group one was compared with the average crop yield for the plots in group two.
A random sample of 50 plants was selected from a field containing one-year-old plants of a variety of guayule, a plant species yielding rubber. Of the 50, 25 were classified as Normal (N), 14 were classified as Off-type (O) and 11 as Aberrant (A). The data on the following page show the percentage rubber content from each plant. Normal Off-type Aberrant 6.34 6.40 5.70 4.84 5.01 6.20 4.25 8.90 6.93 6.38 6.68 7.10 6.42 7.26 7.29 6.30 7.01 6-84 7.12 6.83 7.31 7.25 6.86 6.68 5.82 4.46 7.70 5.90 5.24 5.58 6.36 7.10 6.81 7.32 6.48 5.88 5.24 5.51 7.00 6.42 6.20 6.04 5.58 4.72 7.42 7-27 6.43 6-10 6-01 7.90 (a) Test the null hypothesis that there is no difference in mean rubber content between the three types of plant. (b) If the means of the distributions of each type of plant are denoted by N, PO and PA respectively, test the following particular null hypotheses: (i) EN = RA; (ii) Po=(PN + PA).
Assuming that the data are normally distributed, a. Determine the z-score such that the area to its right is 18%. z= b. Determine the z-score such that the area to its left is 91%. z=
You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.46. Your sample data produce the test statistic z=1.883. Find the p-value accurate to 4 decimal places.
Alabama's assembly unit has decided to use a p-Chart with an alpha risk of 3% to monitor the proportion of defective copper wires produced by their production process. The operations manager randomly samples 300 copper wires at 14 successively selected time periods and counts the number of defective copper wires in the sample. Answer How to enter your answer (opens in r Control Chart Step 2 of 8: What is the z-value associated with the level of significance stated in the problem? Round your answer to two decimal places. MASIN3A Select the Copy Table button to copy all values. To select an entire row or column, either click on the row or column header or use the Shift and arrow keys. To find the average of the selected cells, select the Average Values button. Sample Defects 1 2 4 Table 6 8 7 7 8 8 10 9 9 7 8 9 13 12 11 12 13 9 12 9 14 13 14 Copy Table Copy Table Average Values The average of the selected cell(s) is9.000. Copy Value x
Answer the following questions using the separate rates X1,..., X20 and Y1,..., Y20 shown in Figure 1. (a) Carry out the calculations for a test of the hypotheses that the mean U.S. mortality rate On remained the same or increased from 2005 to 2015 against the alternative that the mean mortality rate decreased. State the hypotheses, test statistic, rejection region, and p-value. Do not interpret the conclusion of the test. (b) Compute a 99% confidence interval for the change in mean heart rate mortality. Do not interpret the interval.
Las Vegas has seen increased competition from Singapore and Macau for customers in the casino resort industry. One measurement of success is the average length of stay by visitors. The data in this file show the number of days a random sample of visitors stayed at each location. a. Using α = 0.05 to determine if there is a difference in the average length of stay by visitors for the three locations. Follow the steps as outlined in the exercises. b. If warranted, perform a multiple comparison test to determine which pairs are different using α = 0.05. c. Verify your results using Excel.

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