Quality Question Bank
for Exam preparation

Q2. Which of the following is false regarding when acceptance sampling is useful:

1. When testing is destructive
2. When 100% inspection cost is very low
3. When there are potentially serious product liability risk
4. When 100% inspection is not technically feasible

Q3. Simple graphical displays are used in the Measure phase to:

1. Show baseline information
2. Determine stability
3. Represent central tendency
4. All of the above

Q4. The g chart is the control chart for:

1. Average number of events
2. Total number of events
3. Mean number of events
4. None of the above

Q5. Which of the following was developed by Motorola to improve its processes by minimizing defects?

1. ISO 9000
2. Six sigma
3. QS 9000
4. TQM

Q6. The chi-square test can be too sensitive if the sample is:

1. very small
2. very large
3. homogeneous
4. predictable

Q7. When the number of defects is low, which of the following is true:

1. We should use c or u chart
2. Most samples will have non-zero defects
3. Create a time between occurrence control chart
4. None of the above

Q8. Six Sigma is a business-driven, multi-dimensional structured approach to

1. Reducing process variability
2. Increasing customer satisfaction
3. Lowering Defects
4. Improving Processes
5. All of the above

Q9. Kaizen is a ______________ process, the purpose of which goes beyond simple productivity improvement.

1. weekly
2. daily
3. monthly
4. annual

Q10. Factory A produces 100 pieces of wooden legs used in manufacturing tables in 1 hour. The factory in total works for 3 hours. The quality manager decided to check the quality of the output by measuring the length of the legs (in cms). He decides to collect three samples (one for each hour). The sample size for each sample is fixed at 5. The data collected is present in the following table: Leg 1 Leg 2 Leg 3 Leg 4 Leg 5 Sample 1 10.2 10.5 9.8 9.7 10.3 Sample 2 10.4 9.9 10.1 10.2 9.8 Sample 3 9.9 9.8 10.2 10.1 10.4 What is the mean and range of leg length in sample 1?

1. Mean=10.3;Range=.3
2. Mean=10.1;Range=.8
3. Mean=10.2;Range=.6
4. Mean=9.9;Range=.5