Using this partial Z Table, how many units from a month's production run are expected to not satisfy customer requirements for the following process?
Upper specification limit: 7.2 Lower specification limit: 4.3 Mean of the process: 5.9 Standard Deviation: 0.65 Monthly production: 450 units
A. 3
B. 7
C. 10
D. 12
Which Element of Waste best describes "the unnecessary movement of materials and goods"?
A. Overprocessing
B. Inventory
C. Motion
D. Conveyance
What dollar amount of savings would a project show if it reduced your outstanding Accounts Receivable by $0.9 million dollars to $3.5 million total and your organization's marginal cost of capital was 5.7%?
A. $49,250
B. $51,300
C. $117,500
D. $202,424
In a good Measurement System the most variation will be with part-to-part measurements. What should you do if the majority of variation is associated with the Gage RandR assuming the gage is technically capable?
A. Focus on fixing the Repeatability and Reproducibility of the measurement device
B. Purchase a new machine
C. Focus on trimming the Part-to-Part variation
D. Run another MSA test with the machine
Fractional Factorial, ____________and Response Surface Method are types of planned experiments.
A. Multi-Vari Analysis
B. Baldridge Channels
C. One Factor at a Time or OFAT
D. Factorial Design
Which of the items listed do not define what an X-Y Diagram is?
A. Created for every project
B. Based on team's collective opinions
C. Updated whenever a parameter is changed
D. Used to show each step in a process
E. A living document throughout project lifecycle
An operator checks that all boxes being packed contain enough products to fill the box. However, each box getting filled has a different number of products in it. This is a Reproducibility problem, not a Repeatability problem.
A. True
B. False
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
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
The _______ is the most frequently occurring value in a distribution of data.
A. Median
B. Mean
C. Center Point
D. Mode
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