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Production Line 1 is able to complete 500 units per shift. Production Line 2 is able to finish 1,500 units per shift. Production Line 2 is 3 times faster than Production Line 1. This analysis is an example of ______________ Scale Data.
What is correlation analysis?
For the data shown here which statement(s) are true? (Note: There are 2 correct answers).
Which of the following awards was initially presented to organizations in Japan?
When variation is removed from the output of a process then the process customer can have more confidence in the experience that results from the process.
What is calibration system?
Which of the following process flow metrics is an essential requirement to calculate 'productivity'?
To be an effective Lean Six Sigma practitioner one must understand the difference between ___________________________.
Statistical Difference is the magnitude of difference or change required to distinguish between a true difference, brought about by change or improvement, and one that could have occurred by chance.
All the data points that represent the total set of information of interest is called the ________________ .

Question 1

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A Non-parametric Test should be used if just one distribution is not Normal out of the two or more gathered.

A.
True
A.
True
Answers
B.
False
B.
False
Answers
Suggested answer: A

Question 2

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Contingency Tables are used to test for association, or dependency, between two or more classifications.

A.
True
A.
True
Answers
B.
False
B.
False
Answers
Suggested answer: A

Question 3

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For the data shown here which statement(s) are true? (Note: There are 2 correct answers).

A.
With 95% confidence, we cannot conclude if the samples are from three Normal Distributions.
A.
With 95% confidence, we cannot conclude if the samples are from three Normal Distributions.
Answers
B.
With greater than 95% confidence, we conclude the samples are from Non-normal Distributions.
B.
With greater than 95% confidence, we conclude the samples are from Non-normal Distributions.
Answers
C.
If we wanted to compare the Central Tendencies of these three samples we would use the one way ANOVA test.
C.
If we wanted to compare the Central Tendencies of these three samples we would use the one way ANOVA test.
Answers
D.
If we wanted to compare the Central Tendencies of these three samples we could use Mood's Median test.
D.
If we wanted to compare the Central Tendencies of these three samples we could use Mood's Median test.
Answers
Suggested answer: B, D

Question 4

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Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).

A.
The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
A.
The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
Answers
B.
General Regression Analysis deals only with Continuous Data
B.
General Regression Analysis deals only with Continuous Data
Answers
C.
Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions
C.
Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions
Answers
D.
SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
D.
SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
Answers
E.
A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
E.
A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
Answers
Suggested answer: A, D, E

Question 5

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A valid Multiple Linear Regression (MLR) is characterized by all of these except?

A.
It is an assumption that the X's (inputs) are not correlated to each other
A.
It is an assumption that the X's (inputs) are not correlated to each other
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B.
The X's (inputs) are assumed to be independent of each other
B.
The X's (inputs) are assumed to be independent of each other
Answers
C.
The Residuals from MLR analysis have to be Normally Distributed
C.
The Residuals from MLR analysis have to be Normally Distributed
Answers
D.
MLR is conducted based on a deliberate form of experimentation
D.
MLR is conducted based on a deliberate form of experimentation
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E.
It is not possible to evaluate interactions in a MLR analysis
E.
It is not possible to evaluate interactions in a MLR analysis
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Suggested answer: D

Question 6

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Which statement is NOT correct about the Fitted Line Plot shown here?

A.
The independent variable is the reactant
A.
The independent variable is the reactant
Answers
B.
If the reactant was 10 units, with 95% confidence we would expect a minimum yield of 148 units
B.
If the reactant was 10 units, with 95% confidence we would expect a minimum yield of 148 units
Answers
C.
With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1
C.
With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1
Answers
D.
A reactant value between 6 and 8 units yields around 40 to 60
D.
A reactant value between 6 and 8 units yields around 40 to 60
Answers
E.
When the reactant increases, the expected yield would increase
E.
When the reactant increases, the expected yield would increase
Answers
Suggested answer: D

Question 7

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The calculation of Column Total times Row Total divided by Grand Total yields expected values from what type of chart?

A.
Pareto Chart
A.
Pareto Chart
Answers
B.
Sakami Table
B.
Sakami Table
Answers
C.
Contingency Table
C.
Contingency Table
Answers
D.
None
D.
None
Answers
Suggested answer: C

Question 8

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Contingency Tables are used to test for association, or dependency, between two or more classifications.

A.
True
A.
True
Answers
B.
False
B.
False
Answers
Suggested answer: A

Question 9

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It would be more likely than not for a Belt conducting a Regression Analysis to find that the _______________________.

A.
r2 value is smaller than the absolute value of r
A.
r2 value is smaller than the absolute value of r
Answers
B.
Correlation Coefficient equals r2
B.
Correlation Coefficient equals r2
Answers
C.
Coefficient of Determination is less than r2
C.
Coefficient of Determination is less than r2
Answers
D.
Correlation Coefficient equals r divided by 2
D.
Correlation Coefficient equals r divided by 2
Answers
Suggested answer: A

Question 10

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A valid mathematical Regression represents all of the characteristics shown except _________________.

A.
All of the standardized residuals will be within 3 Standard Deviations
A.
All of the standardized residuals will be within 3 Standard Deviations
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B.
The sum of the residuals is zero
B.
The sum of the residuals is zero
Answers
C.
The residuals when plotted follow a Normal Distribution
C.
The residuals when plotted follow a Normal Distribution
Answers
D.
Most standardized residuals are within 2 Standard Deviations
D.
Most standardized residuals are within 2 Standard Deviations
Answers
E.
The Residual is equal to the difference between the observed and predicted values
E.
The Residual is equal to the difference between the observed and predicted values
Answers
Suggested answer: A
Total 369 questions
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