Which of the following QQ-plots has the best fit?(a)(c)Empirical quantilesEmpirical quantiles(a)(b)(c)(d)3.02.52.01.51.00.50.0 O3.5 4.52.51.5OngயைTheoretical quantilesPo-0.5 0.0 0.5 1.0 1.5-3 -2 -1 01 2 3Theoretical quantiles(b)(d)Empirical quantilesEmpirical quantiles50403020100O COTON-10 -55040302010005 10 15Theoretical quantiles00OOO O0 5 10 1520Theoretical quantiles

Plot number (d) has the Best fit because in this Q-Q plot most of the points plotted on the graph…

Answered: Which of the following QQ-plots has the…

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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a) Multi-phase sampling with practical example
In a sausage factory, quality managers are studying the compliance of the sausages with the requirements. Any sausage having pin holes, air pockets, deformation or breakage in its casings is counted as defective and total number of such defective sausages alone is noted in each shift. The following data represents the number of defective sausages in samples of 200 sausages taken from 10 shifts. Sample Defectives Percent Defective 1 40 20% 2 28 14% 3 15 8% 4 23 (a) 5 20 10% 6 21 11% 7 19 10% 8 15 8% 9 16 8% 10 17 9% Calculate the value for (a) in the table above. Calculate p-bar based on the samples above. What is the UCL and LCL for a p chart based on the data provided and a desired control level of 99.74%? Use your control limits from part b along with the data provided to draw a p-chart. Is the process in control? Why or why not? If not in control, suggest some potential reasons.
c) A process manufactures ball bearing whose diameters are normally distributed with mean 2.505cm and standard deviation 0.008cm.Specifications call for the diameter to be in the interval 2.5 ‡ 0.01 cm. estimate the proportion of the ball bearings will meet the specification?
3/ Parallax error comes under which of the following error? a. Aging Error b. Human Error c. Static Error d. Stochastic Error
Q7. A rigid vessel having a volume of 0.05 m³ initially contains carbon dioxide gas at temperature 25°C and pressure p. Ethylene gas is allowed to flow into the tank until a mixture consisting of 20% carbon dioxide and 80% ethylene (molar basis) exits within the tank at a temperature of 25°C and a pressure of 100 bar. Determine the pressure p, in bar, using Kay's rule together with the generalized compressibility chart. Answer: 46.6 bar
In a process of filling soda bottles 8% of the total is not completely filled, a potential buyer of the product decides to reject a large purchase batch yes to section a sample of 225 bottles the percentage of bottles that are not completely filled is greater than 7% with a probability greater than 85% a) Under these conditions will they buy the lot? justify the answer b) What is the minimum sample size so that the lot is not bought?
snip
56. The construction of the p chart described in this chapter requires specification of both UCL and LCL levels. Is the LCL meaningful in this context? In particular, what does it mean when an observed value of p is less than the LCL? If only the UCL is used to signal an out-of-control condition, should the calculation of the UCL be modified in any way? (Hint: The definition of the Type 1 error probability, a, will be different. The hypothesis test for determining if the process is in control is one-sided rather than two-sided.)
26. Discuss the following pro and con positions on using optimization models to design control charts: Con: “These models are useless to me because I don’t feel I can accurately estimate the values of the required inputs." Pro: “The choice of specific values of n and k in the construction of X bar charts means that you are assuming values for the various system costs and parameters. You might as well take the bull by the horns and obtain the best estimates you can and use those to design the X bar chart."
• A quality manger failed to detect a bad quality product so he sends it to the market thinking that the quality is good. Accordingly, the customer was not happy with the product as the quality was unacceptable. This is known as(a) "Consumer Risk" Select one: O True O False
i need both answers , with no plagiarism
Describe the proces of testing the operation ofLSPv

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