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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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