MAT 510 Final Exam LATEST 2015 (70 QUESTIONS)

A SIPOC map is

The fact that processes tend to be dynamic, rather
than static, is a key principle of statistical thinking. Which of the following
is a natural consequence of this fact?

Process complexity is important because complex
processes

Process measurements are:

Suppose the Process Improvement Framework were used
to attack a problem where the process in question was inherently unstable.
Which of the following would be a likely result of this effort?

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

A process is said to be capable if

A main purpose of a control chart is to

The histogram has which of the following limitations

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?

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

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

Which of the following is NOT a reason for adjusted
R-Square being low?

Results of regression analysis are often abused in
the following ways

Process models are used to:

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

Identify the assumption that is NOT made when
conducting an experiment

This technique is used to eliminate the effects of
nuisance factors (e.g., machines, day of week, and season of year) from an
experiment

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? 

 




100MPa


200MPa




6.2


11.1




7.3


10.3




8.2


13




8.3


14.3




7.5


11.2




6.5


14.7




9.6


10




9


9.4




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




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?

We conducted a t test to compare the average cycle
time to approve two different types of loans, auto and personal. The p-value
for the t test was -.03, where the hypotheses were

Which of the following would be plausible values for
the endpoints of a 95% confidence interval for (Auto

- Per.)?

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?

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

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?

Improvement is needed for an organization to survive
because:

What is tool that can be used to detect the
structure variation?

Service and non-manufacturing processes

Processes are important because

Suppose a DMAIC 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?

What does it mean if capability index Cp is
less than 1?

If my histogram appears bimodal, what tool might
help me evaluate why?

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?

A process is said to be capable if

A comparison between the Cp and Cpk for
a process would find which of the following to be true?

Which of the following is NOT a measure of model
adequacy?

Process models are used to

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

Tips for building useful models include:

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

A 32 experiment means that we are
experimenting with

This technique is used to eliminate the effects of
nuisance factors (e.g., machines, day of week, and season of year) from an
experiment.

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:

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

We conducted a t test to compare the average cycle
time to approve two different types of loans, auto and personal. The p-value
for the t test was -.03, where the hypotheses were:

 

H0: Auto 
-  Per. = 
0

H0: Auto 
-  Per.  0

 

Which of the following would be plausible values for the endpoints of a 95%
confidence interval for (Auto

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?

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?

Which of the following could be considered a
prediction interval?

I have calculated an interval to document the
uncertainty in my estimate of the long-term standard deviation I will
experience in time to pay invoices in my business going forward. Baaed on this
information, this should be considered what type of interval?

Improvement is needed for an organization to survive
because:

Understanding variation is important because
variation:

Which of the following are principles of Statistical
Thinking?

The standard deviation is:

Process improvement activities typically include

In Figure 2.11, Coach Hau presented data showing
where goals were scored on crosses. This produced unexpected results, in terms
of where the goals came from, and helped his team determine an effective
strategy on free kicks. This is an example of what principle of statistical thinking?

Box, Hunter, and Hunter are quoted in this chapter
as stating: “Data have no meaning in themselves; they are meaningful only in
relation to a conceptual model of the phenomenon studied.” This critical point
is related to which of the following principles of statistical thinking?

The fact that processes tend to be dynamic, rather
than static, is a key principle of statistical thinking. Which of the following
is a natural consequence of this fact?

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?

In the advertising case study, the unexpected “V”
shaped pattern in the plot of advertising dollars versus sales indicated what?

Figure 2.15 displays a model of the statistics
discipline, showing the relationship between statistical thinking, statistical
engineering, and statistical methods and tools. Which of the following is a
principle illustrated by this model?

What is tool that can be used to detect the
structure variation?

Service and non-manufacturing processes:

The primary goal of process mapping is to:

Improving the quality of process measurements is:

Refer to Figure 3.21 and choose the correct
statement for the measurements

We measure, monitor and improve process cycle time
because:

Processes are important because:

Process complexity is important because complex
processes:

Use of subject matter knowledge is a key aspect of
the Statistical Thinking Strategy discussed in Chapter 2. For which of the
following case studies in Chapter 4 was this principle NOT clearly applied?

The Problem Solving Framework begins with a
“Document the Problem” phase. The Process Improvement Framework does not begin
this way, but rather begins with an “Understand the Process phase.” Which of
the following are valid reasons for this difference?

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?

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?

Suppose a DMAIC 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?

Which of the following are accurate statements about
the relationship between the Process Improvement Framework (PIF) and the
Problem Solving Framework (PSF)?


  1. A
    manufacturing process has been experiencing problems.  The operators
    charting the process data have identified the cause to be due to an
    unanticipated change in incoming raw materials.  This problem should
    be considered:

  2. It
    is, unfortunately, common in business for managers to demand an
    explanation for variation that is, based on statistics, typical and expected
    variation, i.e., common cause variation. Alternatively, there may be
    obvious special causes in the data that may be shrugged off as “typical
    business fluctuations”. Which of the following statements about
    interpretation of variation are true?

  3. 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?

  4. Lean
    manufacturing, Six Sigma, Total Quality Management are some of the new
    systems for managing and improving an organization. What is a common theme
    running through these approaches?

  5. The
    principal drivers of the rapid change in the global economy are:

  6. A
    SIPOC map is:

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

  8. 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:

  9. The
    frameworks discussed in Chapter 4 could be considered more specific
    examples of:

  10. Sub-optimization
    occurs when:

  11. 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

  12. Process
    measurements are:

  13. Viewing
    a business as a system is important because:

  14. The
    Hidden Factory is:



 

 

 
Powered by