In every experiment there is experimental error. Which of the following statements is true?
Answer
• Question 2
4 out of 4 points
This technique is used to eliminate the effects of nuisance factors (e.
...
In every experiment there is experimental error. Which of the following statements is true?
Answer
• Question 2
4 out of 4 points
This technique is used to eliminate the effects of nuisance factors (e.g., machines, day of week, and season of year) from an experiment.
Answer
• Question 3
4 out of 4 points
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:
Answer
• Question 4
4 out of 4 points
A 32 experiment means that we are experimenting with:
Answer
• Question 5
4 out of 4 points
Given the plot below, what might you suspect about factors A and B?
Answer
• Question 6
4 out of 4 points
Which type of variation was critical to resolving the realized revenue case study?
Answer
• Question 7
4 out of 4 points
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?
Answer
• Question 8
4 out of 4 points
The model residuals are examined to:
Answer
• Question 9
4 out of 4 points
A statistic that is used to indicate too much correlation between the predictors in a regression analysis is called the:
Answer
• Question 10
4 out of 4 points
The best way to evaluate the validity of a statistical model is:
Answer
• Question 11
4 out of 4 points
George Box tells us “all models are wrong but some are useful”. By this comment he means:
Answer
• Question 12
4 out of 4 points
Models based on subject matter fundamentals (theory) are generally better than statistical models for:
Answer
• Question 13
4 out of 4 points
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?
Answer
• Question 14
4 out of 4 points
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?
Answer
• Question 15
0 out of 4 points
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?
Answer
• Question 16
4 out of 4 points
For which of the following scenarios am I most likely to utilize a Chi-squared test?
Answer
• Question 17
4 out of 4 points
Which of the following could be considered a prediction interval?
Answer
• Question 18
4 out of 4 points
Improvement is needed for an organization to survive because:
Answer
• Question 19
4 out of 4 points
Control limits were originally defined at the three-sigma level because:
Answer
• Question 20
4 out of 4 points
If my histogram appears bimodal, what tool might help me evaluate why?
Answer
• Question 21
4 out of 4 points
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?
Answer
• Question 22
4 out of 4 points
The histogram has which of the following limitations?
Answer
• Question 23
4 out of 4 points
Non-random and unpredictable patterns on a control chart indicate:
Answer
• Question 24
4 out of 4 points
Refer to Figure 3.21 and choose the correct statement for the measurements
Answer
• Question 25
4 out of 4 points
Processes are important because:
Answer
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