MAT 510 FINAL EXAM

Understanding variation is important because variation:

The Statistical Thinking Strategy illustrated in Figure 2.14 provides a graphic of the overall approach to driving improvement through statistical thinking. Which of the following is a key principle illustrated in this specific graph?

Improving the quality of process measurements is:

The Hidden Factory is:

Which type of variation was critical to resolving the realized revenue case study?

A process is said to be capable if:

The histogram below showing ages of credit card holders displays what type of distribution?
 

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?

Non-random and unpredictable patterns on a control chart indicate:

A main purpose of a control chart is to:

Models based on subject matter fundamentals (theory) are generally better than statistical models for:

A statistic that is used to indicate too much correlation between the predictors in a regression analysis is called the:

George Box tells us “all models are wrong but some are useful”. By this comment he means:

Tips for building useful models include:

The best way to evaluate the validity of a statistical model is:

Given the plot below, what might you suspect about factors A and B?
 

The following table shows data on the effect of Machine Pressure on product hardness.   What statistical test should be used to test the effect of pressure on average hardness?
 

What should one consider when analyzing the results of an experiment?

In every experiment there is experimental error.  Which of the following statements is true?

A 3² experiment means that we are experimenting with:

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?

For which of the following scenarios am I most likely to utilize a Chi-squared test?

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?

Which of the following could be considered a prediction interval?

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?