MAT 510 Week 11 Assignment Help | strayer university
- strayer university / MAT 510
- 25 Mar 2021
- Price: $13
- Mathematics Assignment Help / statistics
MAT 510 Week 11 Assignment Help | strayer university
Question 1
Problem solving
activities typically include:
Question 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?
Question 3
Service processes are
different from manufacturing processes in that:
Question 4
We measure, monitor and
improve process cycle time because:
Question 5
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?
Question 6
Control limits were
originally defined at the three-sigma level because:
Question 7
A main purpose of a
control chart is to:
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 stability of the process?
Question 9
The histogram below showing ages of credit card holders displays what type of distribution?
Question 10
Non-random and
unpredictable patterns on a control chart indicate:
Question 11
If you had the following residual plots what would be your concerns regarding the adequacy of the model associated with these residuals?
Question 12
The model residuals are examined to:
Question 13
Models based on subject matter fundamentals (theory)
are generally better than statistical models for:
Question 14
George Box tells us “all models are wrong but some
are useful”. By this comment he means:
Question 15
Which of the following is NOT a reason for adjusted
R-Square being low?
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
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 18
In every experiment there is experimental
error. Which of the following statements
is true?
Question 19
The basic reason for randomness of sampling in design of experiments is:
Question 20
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 21
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?
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
For which of the
following scenarios am I most likely to utilize a Chi-squared test?
Question 24
I have made a mistake
in copying data into my computer to perform a large regression model with 20
independent variables. Basically, I ended up with random data in each of the
columns. However, I accidentally ran the regression anyway. Making reasonable assumptions,
which of the following outcomes is most likely?
Question 25
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: