Data TableDay 1Day 2Day 3Day 4Day 5Day 68:00-10:00 AM7.447.868.138.168.37.38Shift10:00 AM7.848.557.967.628.077.47Noon-2:00 PM7.878.058.217.718.147.932:00-4:00 PM8.337.638.517.98.127.73 A company that makes basketballs has the motto, "Our basketballs are ready to play." Therefore, it is important to the company that the basketballs are inflated with the properamount of air when shipped. Most basketballs are inflated to 7 to 9 pounds per square inch. From a set of calibration data, X = 8.03 and R=0.57. Recently the company selected arandom basketball from its production line at four different time periods over its normal production day. The results were listed in the accompanying table. Complete parts a through c.Click the icon to view the data table.Click the icon to view the factors for calculating control limits.a) Create an x-bar chart based on the calibration data statistics for these 6 samples. Choose the correct graph below.OA.O B.2 3 4 5 6Group1.6-11.2-0.8-0.4-1 2 3 4 5Group6QUCLCLLCLQUchaCL8.68.4-b) Create an R chart based on the calibration data statistics for these 6 samples. Choose the correct graph below.O A.O B.LCL8.2487.87.61.4-C0.8-0.2+1 2 3 4 5 6GroupQUCLOCLLCLE1 2 3 4 5 6GroupQUCLCLO C.8.88.4-8-7.6-7.2-O C.2.52-1.5-0.5-2 3 4 5Group4 5Group6QCLLOLQCLLCLc) Assuming that the process was in control during the calibration period, is the company's process for filling its basketball with the proper amount of air in control?O A. No, the R chart indicates that the company's process is out of control.O B. Yes, both charts indicate that the company's process is in control.O C. No, the x-bar chart indicates that the company's process is out of control.O D. No, both charts indicate that the company's process is out of control.

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Answered: mpany etballs has the motto, balls are…

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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Insurance companies are interested in knowing the population proportion of drivers who always buckle up before riding in a car.When designing a study to determine this population proportion, what is the minimum number of drivers you would need to survey to be 95% confident that the population proportion is estimated to within 0.05?
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Please help by providing detailed workings. Answers to a minimum of 6 d.p. Thanks
Joan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost estimating purposes, managers use two hours of labor time for the planting of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours). 2.4 t (to 3 decimals) 2.8 Select your answer - 2.2 Ho : μ Select your answer - 2 Ha - Select your answer - ✪ 2 b. Compute the sample mean. (to 2 decimals) c. Compute the sample standard deviation. (to 4 decimals) d. Find the test statistic and p-value. (Use Table 2 in Appendix B.) ✪ 2.7 1.7 1.5 With a 0.05 level of significance, test to see whether the mean tree-planting time differs from two hours. a. State the null and alternative hypotheses. 1.6 2.4 2.6 3.1 p-value e. What is your conclusion? We - Select your answer-reject the null hypothesis.…
You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly different from 0.22. Your sample data produce the test statistic z = 3.03 . Find the pvalue accurate to 4 decimal places.
Jane measures the age of death of 4 strains of mice using 40 male mice per strain, with 20 mice from each strain on a high protein diet and the other 20 mice on a high fat diet. What is the N (the number of independent observations) in this experiment? Draw the experimental design table.
Two varieties of corn are grown in 4 different locations. Each location provides a value in pounds for each variety.The table below lists the results. Find the standard error for the difference in the production of the two corn varieties to two decimal places. Variety 1 Variety 2 difference location 1 32.1 34.5 -2.4 location 2 30.6 32.6 -2.0 location 3 33.7 34.6 -0.9 location 4 29.7 31.6 -1.3 mean value 31.53 33.18 -1.65 standard deviation 1.76 1.72 0.68 1.23 0.75 0.34 0.98
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