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Total 400 questions
The ________________ the discrimination, the __________________ the changes that can be detected by the measurement tool.
- A. Higher/higher
- B. Higher/smaller
- C. Smaller/smaller
- D. None of the above
Answer : B
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
Answer : A
% R & R can be expressed as:
- A. % productivity divided by run rate
- B. % repeatability divided by production (rate)
- C. Sigma of the measurement system divided by total sigma
- D. Variance of the measurement system divided by total variance
Answer : C
If you have a gauge study with a % R&R of 25% what should you do?
- A. Pull the tool from production.
- B. This is fine-go ahead.
- C. This is not acceptable for critical measurements, you should look into improvements in the measurement process.
- D. This is only an issue if you fail calibration.
Answer : C
Three different operators perform MSA on 10 parts. They measure the same 10 parts twice. What would the Total # of readings be?
- A. 30
- B. 60
- C. 120
- D. 10
Answer : B
A measurement system is said to have a consistent bias if:
- A. The standard deviation of the system is consistent across the measurement range
- B. The difference between the average reading of the measurement tool and reference value is the same across the operating range of the tool operation
- C. The standard deviations of the reading given by the measurement tool when measuring a standard is the same across the operating range of the tool operation
- D. All tools of the same type give the same variance reading
Answer : B
The variance of your measurement system is 25. The total standard deviation is 50. What is your % R & R?
- A. 15%
- B. 50%
- C. 10%
- D. 22%
Answer : C
What type of knowledge is gained by doing an MSA?
- A. Determine the size of the measurement variability
- B. Determine if the measurement system is stable over time
- C. Determine if the measurement system is capable of making the required measurements
- D. All of the above
Answer : D
A measurement system has sufficient discrimination if:
- A. A measurement system should not discriminate
- B. The measurement unit is at most one-tenth of the six sigma spread of the total process variation
- C. You can get output to the second decimal point
- D. If the tool can be easily calibrated
Answer : B
When assessing gauge performance, you should look at the following (Choose the best answer).
- A. Repeatability
- B. Reproducibility
- C. Repeatability and reproducibility
- D. Improve variation of process being measured
Answer : C
Given repeatability ֿƒRPT =4 and reproducibility ֿƒRPD = 3, calculate precision ֿƒMS
- A. ֿƒMS = 3
- B. ֿƒMS = 7
- C. ֿƒMS = 25
- D. ֿƒMS = 5
Answer : D
The following is the best description for the purpose of a process map:
- A. It is a tool used only after a Six Sigma project is completed
- B. It is a tool to convert customer requirements to a set of measurable technical requirements with target values.
- C. It is a tool for identifying alternative solutions or concepts
- D. It is a tool used to identify all major steps, outputs, and inputs to look for potential causes of a problem.
Answer : D
While checking regression model assumptions, an engineer generates the following plot of residuals versus predicted Y.
Which of the actions below is the most appropriate next step?
- A. Transform the response and re-fit the model
- B. Make additional runs, collect additional data and re-fit the model
- C. No transformation is required for this type of pattern
- D. Transform the independent variable and re-fit the model
Answer : A
In a regression analysis, model assumptions are validated using which of the following?
- A. The ANOVA table
- B. A plot of X versus predicted/fitted Y
- C. Chi-square statistic
- D. Residual diagnostics
Answer : D
For a multiple regression model, the R2 is the parameter that:
- A. Represents the fraction of total variation explained by the model
- B. Explains the strength of only one of the inputs in the model
- C. Explains if the input factor causes the output response
- D. Quantifies the slope of the line in the model
Answer : A
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