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MAT 510 Week 11 Final Exam | Complete

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  • Question 1 Which of the following are principles of Statistical Thinking?
  •  
  • Question 2 The Statistical Thinking Strategy has significant commonality with the
  • scientific method. Which of the following statistical thinking principles is NOT generally associated with the scientific method?
  •  
  • Question 3 The primary goal of process mapping is to:
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  • Question 4 Viewing a business as a system is important because:
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  • Question 5 If you are thinking creatively about how to take existing tools and link and sequence them to develop a novel approach to solve important problems, this would be an example of:
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  • Question 6 If my histogram appears bimodal, what tool might help me evaluate why?
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  • Question 7 A sample of 50 invoices are inspected each shift for errors, and classified as either “good”, i.e., without error, or “bad”, having some problem. If we plot our bad invoices each shift on a control chart, which chart should we use?
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  • Question 8 Control limits were originally defined at the three-sigma level because:
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  • Question 9 A main purpose of a control chart is to:
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  • Question 10 What does it mean if capability index Cp is less than 1?
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  • Question 11 Which of the following is NOT a measure of model adequacy?
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  • Question 12 Which of the following is NOT a reason for adjusted R-Square being low?
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  • Question 13 Process models are used to:
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  • Question 14 Tips for building useful models include:
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  • Question 15 An Adjusted R-square value is a correlation coefficient that has been modified to account for:
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  • Question 16 Identify the assumption that is NOT made when conducting an experiment:
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  • Question 17 This technique is used to eliminate the effects of nuisance factors (e.g., machines, day of week, and season of year) from an experiment.
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  • Question 18 The basic reason for randomness of sampling in design of experiments is:
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  • Question 19 Given the plot below, what might you suspect about factors A and B?
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  • Question 20 An aspect of good experimental strategy is to study the effects of the variables (Xs) over a wide range. This strategy increases the chances that effects will be found because:
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  • Question 21 Based on a regression model, I have developed a 95% prediction interval for the time it will take me to run a mile under specific conditions (weather, what I have eaten & drank, running shoes used, and so on). This interval goes from 5.2 minutes to 6.1 minutes. Which of the following could be an accurate description of this interval?
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  • Question 22 We are testing the null hypothesis that the average monthly revenue between four insurance offices is the same. We obtained a p-value of .07. Which of the following would be an appropriate conclusion about the population?
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  • Question 23 For which of the following scenarios am I most likely to utilize a Chi-squared test?
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  • Question 24 A local university ran a regression model on factors impacting starting job salary of employed graduates. After validating this as a reasonable model, the university noted that the regression coefficient for GPA had a p-value of .10. Which of the following would be a reasonable conclusion in this case?
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  • Question 25 After running an ANOVA comparing the average years of experience between five different job classifications, we obtained a p value of .02. Which of the following would be a reasonable conclusion concerning the population in this case?
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