Chapter 20: Statistical Methods for Quality Control

In acceptance sampling, the risk of rejecting a good quality lot is known as
1. Consumer's risk
2. Producer's risk
3. a Type II error
4. none of the above
In acceptance sampling, the risk of accepting a poor quality lot is known as
1. Consumer's risk
2. Producer's risk
3. a Type I error
4. none of the above
The maximum number of defective items that can be found in the sample and still lead to acceptance of the lot is the
1. upper control limit
2. lower control limit
3. acceptance criterion
4. none of the above
Consumer's risk is
1. the same concept at the Producer's risk
2. a Type II error
3. a Type I error
4. none of the above
A graph showing the probability of accepting the lot as a function of the percent defective in the lot is
1. a power curve
2. a control chart
3. an operating characteristic curve
4. none of the above
A control chart that is used when the output of a production process is measured in terms of the percent defective is
1. a P chart
2. an R chart
3. a process chart
4. none of the above
If the lower control limit of a P chart is negative,
1. a mistake has been made in the computations
2. use the absolute value of the lower limit
3. it is set to zero
4. none of the above
A control chart used when the output of a process is measured in terms of the mean value of a variable is a(an)
1. R chart
2. p chart
3. chart
4. np chart
5. none of the above
A control chart used when the output of a process is measured in terms of the range of a variable is a(an)
1. R chart
2. p chart
3. chart
4. np chart
5. none of the above
A control chart used when the output of a process is measured in terms of the proportion defective is
1. R chart
2. p chart
3. chart
4. np chart
5. none of the above