Statistical Quality Control Mock Test 7

10%

Question 1 of 10

1. Which of these tells about the inherent variability of the gauge?

SNR

DR ratio

Accuracy

Precision

Question 1 of 10

Question 2 of 10

2. The options are the P/T ratios for different measurement systems. Which of these shows an adequate measurement system?

0.06

0.21

0.13

0.18

Question 2 of 10

Question 3 of 10

3. If the mean changes to a higher value, what will be the effect on the cumulative sum?

Can’t be predicted.

Decrease

Increase

Can decrease or increase

Question 3 of 10

Question 4 of 10

4. If the number of standard deviations between the usual natural tolerance limits of a normal distribution, what is the value used for k in the P/T ratio?

5.60

5.15

Question 4 of 10

Question 5 of 10

5. What is reproducibility?

Variability due to error in process

Variability due to different operators using the gauge or different time periods, or environments

Variability reflecting the basic inherent precision of the gauge itself

Variability reflecting the basic inherent precision of the process

Question 5 of 10

Question 6 of 10

6. Which charts are particularly more effective for sample size one?

c-charts

p-charts

Cusum charts

X bar and s charts

Question 6 of 10

Question 7 of 10

7. If the value of x_i=9.29, and C_i-1=-2.56, what will be the value of the cumulative sum for this sample, if the value of μ₀=10?

-5.13

3.27

-3.27

5.13

Question 7 of 10

Question 8 of 10

8. Upward or downward shifts in the Cusum value, directly indicate changes in process condition.

False

True

Question 8 of 10

Question 9 of 10

9. If the variance of product variability is increased while keeping the total observed measurement variance constant, what will be effect on the gauge capability ratio ρ_P?

No change

Can’t be predicted (no dependency over each other)

Decrease

Increase

Question 9 of 10

Question 10 of 10

10. If the sample variance of a process is, 10.05, and the gauge capability standard deviation is estimated to be 0.79. What will be the value of the estimate of the standard deviation of the product variability?

2.03

8.91

3.04

9.26

Question 10 of 10