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QUESTION 40

Which statement(s) are correct about the DOE Factorial plot output here? (Note: There are 3 correct answers).

A. Two factors were operated at 3 levels each

B. The highest tool age was achieved with metal hardness at high level while keeping the cutting speed at the low level

C. The design indicated above is a 32 factorial design

D. The cutting speed and cutting angle are at the low level for the least tool age achieved

E. All factors had 2 levels in the experiment

Correct Answer: BCE

QUESTION 41

Which statement(s) are incorrect for the Regression Analysis shown here? (Note: There are 2 correct answers).

A. The air-fuel ratio explains most of the TurbineOutput variation

B. The Regression explains over 98% of the process variation

C. This Multiple Linear Regression has three statistically significant independent variables

D. If the air-fuel ratio increases by 1, the TurbineOutput more than triples

E. The SteamExitTemp explains the most variation of the TurbineOutput

Correct Answer: DE QUESTION 42

Which statement(s) are most correct for the Regression Analysis shown here?

A. The Regression explains 50.8% of the process variation

B. The air-fuel ratio explains most of the TurbineOutput variation

C. This Simple Linear Regression explains 98+% of the process variation

D. This Multiple Linear Regression has four statistically significant independent variables

Correct Answer: B

QUESTION 43

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

A. The residuals when plotted follow a Normal Distribution

B. The sum of the residuals is zero

C. All of the standardized residuals will be within ±3 Standard Deviations

D. Most standardized residuals are within ±2 Standard Deviations

Correct Answer: C

QUESTION 44

When a Belt conducts a Linear Correlation Analysis and finds that as an X increases the Y also increase then he has proven a ______________ correlation.

A. Negative

B. Positive

C. Monomial

D. Single alignment

Correct Answer: B

QUESTION 45

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

B. The X’s (inputs) are assumed to be independent of each other

C. MLR is conducted based on a deliberate form of experimentation

D. The Residuals from MLR analysis have to be Normally Distributed

Correct Answer: C QUESTION 46

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

A. The independent variable is the reactant

B. If the reactant was 6 units, with 95 % confidence we would expect a minimum yield of 100 units

C. With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1

D. A reactant value between 2 and 4 units yields around 20 to 40

E. When the reactant increases, the expected yield would increase

Correct Answer: D

QUESTION 47

When doing Hypothesis Testing on Non-normal data Belts will use a ________________ to compare more than two sample proportions to each other.

A. Z score Table

B. Sakami Table

C. Mean-to-Mode Analysis

D. Contingency Table

Correct Answer: C QUESTION 48

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

B. Correlation Coefficient equals r2

C. Coefficient of Determination is less than r2

D. Correlation Coefficient equals r divided by 2

Correct Answer: A QUESTION 49

When a Belt properly analyzes the results of an experiment he must examine the Residuals in expectation of finding all of the following except _________.

A. Some Residuals higher than others

B. Some Residuals lower than others

C. All Residuals within 2 Standard Deviations of the Mean

D. Residuals will represent a Linear Regression

Correct Answer: D QUESTION 50

Which statement(s) are correct about the Regression shown here? (Note: There are 2 correct answers).

A. The dependent variable is the outside temperature

B. The relationship between outside temperature and number of customers per hour is a Linear Regression

C. The dashed lines indicate with 95% confidence where all of the process data should fall between

D. The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line

E. The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C

Correct Answer: DE

QUESTION 51

Which of these might contribute to similar distributions having Unequal Variance?

A. Extreme tails

B. Outliers

C. Multiple Modes

D. All of the above

Correct Answer: D

QUESTION 52

A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt’s effort requiring that the average cost of an internal critical raw material component be less than or equal to $4,200 in order to stay within budget. Using a sample of 35 first article components, a Mean of the new product upgrade price of $4,060, and a Standard Deviation of $98 was estimated. Select the answer that best states the Practical Problem.

A. If the average cost per component is $4,200 or less, then the purchase manager will introduce the new product upgrade with new components.

B. If the average cost per component is greater than $4,200, then the purchase manager will introduce the new product upgrade with new components.

C. Only if the average cost per product upgrade is $4,060, will the purchase manager introduce new product upgrades with new components.

D. If the average cost per new product upgrade is less than $180, then the purchase manager will introduce the new product upgrade with new components.

Correct Answer: C

QUESTION 53

A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt’s effort requiring that the average cost of an internal critical raw material component be less than or equal to $4,200 in order to stay within budget. Using a sample of 35 first article components, a Mean of the new product upgrade price of $4,060, and a Standard Deviation of $98 was estimated. The Alternative Hypothesis in the above example is?

A. The Standard Deviation is equal to $300.

B. The Mean is less than $4,320.

C. The Mean is equal to $4,060.

D. The Mean is less than $4,200.

E. The Mean is greater than $ 4,200.

Correct Answer: E

QUESTION 54

A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt’s effort requiring that the average cost of an internal critical raw material component be less than or equal to $3,600 in order to stay within budget. Using a sample of 42 first article components, a Mean of the new product upgrade price of $3,200 and a Standard Deviation of $180 was estimated. Based on the data provided, the Z value for the data assuming a Normal Distribution is?

A. 1.11

B. 2.22

C. 4.30

D. 5.42

Correct Answer: B

QUESTION 55

Sally and Sara sell flower pots at their garage sale. Sally motivates Sara mentioning that they will sell a minimum of 15 pots per day if the outside temperature exceeds 60o F. From a sample, whose population

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