Quality Question Bank
for Exam preparation

Quality- Q2. Which of the following statements regarding quality is false?

1. Quality improvements depends upon better definition and increased awareness of the requirements specifications
2. Future gains in quality will often rely on advanced technology
3. Recognition of key actions required of each team member is necessary to meet quality objectives
4. Computer-aided design systems can improve quality, but only a the expense of an increase in the cost of design
5. A and C

Quality- Q3. production issues should be addressed early

1. correct
2. correct to some extent
3. correct to great extent
4. incorrect

Quality- Q4. Deming's 4 step cycle for improvement is______________

1. plan, do, check, act
2. schedule, do, act, check
3. do, act, check, monitor
4. plan, control, act, sustain

Quality- Q5. Producers risk can be defined as:

1. The probability of rejecting a good lot
2. The probability of accepting a bad lot
3. The probability of accepting a good lot
4. The probability of rejecting a bad lot

Quality- Q6. establishing measurements based on customer needs for optimizing product design is known as ______________

1. Quality design
2. quality improvement
3. quality control
4. Quality planning

Quality- Q7. The focal point of all quality control should be:

1. Price focus
2. Cost Focus
3. Customer Focus
4. Manufacturing Focus

Quality- Q8. CIP is:

1. A sustained, gradual change
2. all of the above
3. Continuous improvement process
4. Includes constancy of purpose and commitment to quality as part of its focus
5. a and b

Quality- Q9. Consider that for a process s bar (average standard deviation of 50 samples each of size 4) is found to be 10.04. The value of c4 (corresponding to sample size of .4) is .92. What is the estimated value of process standard deviation?

1. 10.91 (s bar/ c4 is an unbiased estimator of standard deviation)
2. 11.89
3. 12.67
4. 9.67

Quality- Q10. Q-Q plot is used to check:

1. Normality of the dataset
2. Number of defects
3. Process mean
4. Process standard deviation