With Measurement Systems Analysis (MSA), we want to determine how much of the variation in our data is due to:
A. Variation in our measurement system
B. Manufacturing Equipment
C. Part to part variation
D. Lot to lot variation
Which of these might contribute to similar distributions having Unequal Variance?
A. Extreme tails
B. Outliers
C. Multiple Modes
D. All of the above
The method of Steepest Ascent guides you toward a target inside the original inference space.
A. True
B. False
Which of these items are not part of what is necessary for successful Kaizens?
A. Good lighting
B. Management support
C. Operator support
D. Analysis tools
If you can Poka-Yoke a defect out of the process entirely then you do not need use SPC on the characteristic of interest in the defect.
A. True
B. False
Six Sigma is a business improvement discipline whose fundamental view is based on a _________ oriented approach of the business.
A. Profit
B. Performance
C. Process
D. Predatory
The validity of the decision made with Hypothesis Testing is dependent upon all of the following except ______________________.
A. Beta risk
B. Range of data
C. Alpha risk
D. Sample size
For a batch manufacturing process, while assessing short term process variation, which variation category (ies) should one need to focus on? (Note: There are 2 correct answers).
A. Variation within consecutive pieces
B. Variation among consecutive batches
C. Variation among groups of pieces
D. Variation among the completed product
The Central Limit Theorem says that as the sample size becomes large the sample Mean distribution will form a Normal Distribution, ____________________.
A. If the Measurement System is properly calibrated
B. When the data is collected accurately
C. If the shape is evenly spread
D. No matter what the shape of the population distribution of individuals
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.
A. True
B. False