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Adelphi University/Devry
Apr-2000 - Mar-2005
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Adelphi University
Sep-2007 - Apr-2017
Question 1
Process improvement activities typically include:
Question 2
Figure 2.16 shows a chart of the Dow Jones Industrial Average from 1990 through 2011. This plot reveals some obvious change points, such as the 2008 financial collapse, and some unexplainable short-term variation. Assuming that these are the only sources of variation in this plot, what source of variation is NOT visible in the plot?
Question 3
Process measurements are:
Question 4
The SIPOC model for a business helps everyone in the company see the business from an overall perspective by:
I. Keeping a focus on customer needs
II. Identifying inputs and outputs for each step of the process
III. Displaying cross-function activities in simple terms
IV. Helping maintain the big business picture
Question 5
Suppose the Problem Solving Framework were used to attack a problem where the process in question was inherently stable. Which of the following would be a likely result of this effort?
Question 6
In evaluating data on our process outputs, four characteristics we might investigate are: central tendency, variation, shape of distribution, and stability. Which of the following tools would be most helpful to determine the shape of the distribution?
Question 7
A comparison between the Cp and Cpk for a process would find which of the following to be true?
Question 8
If my histogram appears bimodal, what tool might help me evaluate why?
Question 9
Non-random and unpredictable patterns on a control chart indicate:
Question 10
Based on the flow chart for selecting control charts discussed in Chapter 5, which type of chart would be most appropriate if I am charting the % waste in a factory each month? This value is calculated by taking the total waste in tons within the factory each month, and dividing by total output, also in tons.
Question 11
George Box tells us “all models are wrong but some are useful”. By this comment he means:
Question 12
Models based on subject matter fundamentals (theory) are generally better than statistical models for:
Question 13
An Adjusted R-square value is a correlation coefficient that has been modified to account for:
Question 14
If you had the following residual plots what would be your concerns regarding the adequacy of the model associated with these residuals?
Question 15
Tips for building useful models include:
Question 16
A 32 experiment means that we are experimenting with:
Question 17
What should one consider when analyzing the results of an experiment?
Question 18
In the experimental layout below, which are the most important factors?
Factor A Factor B Factor C Y
-1 -1 -1 150
1 -1 -1 148
-1 1 -1 156
1 1 -1 158
-1 -1 1 137
1 -1 1 132
-1 1 1 145
1 1 1 147
Question 19
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:
Question 20
Identify the assumption that is NOT made when conducting an experiment:
Question 21
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?
Question 22
We have conducted an election poll of 600 likely voters, collected as randomly as possible. The 95% confidence interval (CI) for those planning to vote for Senator Smith is about 55% +/- 4%. How many additional likely voters would we need to poll to reduce the CI width to +/- 2%? Hint – you do not need to calculate the exact value to answer this question.
Question 23
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?
Question 24
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?
Question 25
What would happen (other things equal) to a confidence interval if you calculated a 99 percent confidence interval rather than a 95 percent confidence interval?
Question 1
Why is it so difficult for a person or an organization to improve?
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 Hidden Factory is:
Question 4
Improving the quality of process measurements is:
Question 5
We learned in Chapter 2 that most processes are dynamic in nature, and therefore the time dimension is often a critical consideration in process improvement. For which of the case studies in Chapter 4 was plotting data over time NOT critical to success?
Question 6
The histogram below showing ages of credit card holders displays what type of distribution?
Question 7
In evaluating data on our process outputs, four characteristics we might investigate are: central tendency, variation, shape of distribution, and stability. Which of the following tools would be most helpful to determine stability of the process?
Question 8
In evaluating data on our process outputs, four characteristics we might investigate are: central tendency, variation, shape of distribution, and stability. Which of the following tools would be most helpful to determine the shape of the distribution?
Question 9
A comparison between the Cp and Cpk for a process would find which of the following to be true?
Question 10
The histogram has which of the following limitations?
Question 11
The model residuals are examined to:
Question 12
Which of the following is NOT a measure of model adequacy?
Question 13
Results of regression analysis are often abused in the following ways:
Question 14
The best way to evaluate the validity of a statistical model is:
Question 15
George Box tells us “all models are wrong but some are useful”. By this comment he means:
Question 16
Which of the following is the best description of randomization?
Question 17
In every experiment there is experimental error. Which of the following statements is true?
Question 18
A 32 experiment means that we are experimenting with:
Question 19
The basic reason for randomness of sampling in design of experiments is:
Question 20
What should one consider when analyzing the results of an experiment?
Question 21
We have conducted an election poll of 600 likely voters, collected as randomly as possible. The 95% confidence interval (CI) for those planning to vote for Senator Smith is about 55% +/- 4%. How many additional likely voters would we need to poll to reduce the CI width to +/- 2%? Hint – you do not need to calculate the exact value to answer this question.
Question 22
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?
Question 23
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?
Question 24
We ran a taste-test to see which soft drink employees in our company prefer. We had 100 employees, selected as randomly as possible, taste test two brands and determine which they preferred. Which of the following would be a reasonable statistical analysis to determine if there is a clear preference among our employees?
Question 25
What would happen (other things equal) to a confidence interval if you calculated a 99 percent confidence interval rather than a 95 percent confidence interval?
Question 1
A SIPOC map is:
Question 2
In the soccer case study, Coach Hau developed a flowchart of the steps one goes through to properly “head” the ball, and then developed unique drills to develop the team’s skills in each of these steps. This approach is an example of what statistical thinking principle?
Question 3
We measure, monitor and improve process cycle time because:
Question 4
Sub-optimization occurs when:
Question 5
Which of the following are valid statements about the DMAIC framework?
Question 6
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?
Question 7
In evaluating data on our process outputs, four characteristics we might investigate are: central tendency, variation, shape of distribution, and stability. Which of the following tools would be most helpful to determine stability of the process?
Question 8
A comparison between the Cp and Cpk for a process would find which of the following to be true?
Question 9
What does it mean if capability index Cp is less than 1?
Question 10
Control limits were originally defined at the three-sigma level because:
Question 11
Models based on subject matter fundamentals (theory) are generally better than statistical models for:
Question 12
Results of regression analysis are often abused in the following ways:
Question 13
Which of the following is NOT a reason for adjusted R-Square being low?
Question 14
Process models are used to:
Question 15
Which of the following is NOT a measure of model adequacy?
Question 16
This technique is used to eliminate the effects of nuisance factors (e.g., machines, day of week, and season of year) from an experiment.
Question 17
What should one consider when analyzing the results of an experiment?
Question 18
A 32 experiment means that we are experimenting with:
Question 19
The basic reason for randomness of sampling in design of experiments is:
Question 20
Which of the following purposes are served by replicating an experiment?
1. Provide a means for estimating the experimental error
2. Increase the number of treatment effects included in the experiment
3. Improve the precision of estimates of treatments effects
Question 21
We are conducting a poll for the mayoral election of a medium sized city, and found with one week before the election that the Democrat candidate is leading with 52% planning to vote for her, 46% planning to vote for the Republican, with 2% not sure. The 95% confidence interval for proportion planning to vote for the Democrat is +/- 3%. Based on this information, and making reasonable assumptions, which of the following statements is correct?
Question 22
We ran a taste-test to see which soft drink employees in our company prefer. We had 100 employees, selected as randomly as possible, taste test two brands and determine which they preferred. Which of the following would be a reasonable statistical analysis to determine if there is a clear preference among our employees?
Question 23
We have conducted an election poll of 600 likely voters, collected as randomly as possible. The 95% confidence interval (CI) for those planning to vote for Senator Smith is about 55% +/- 4%. How many additional likely voters would we need to poll to reduce the CI width to +/- 2%? Hint – you do not need to calculate the exact value to answer this question.
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?
Question 25
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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