When the sample exception rate is greater than the tolerable exception rate in attributes sampling, one possible appropriate course of action is to increase sample size.

Question

Quizplus · Accepted Answer

When the sample exception rate is greater than the tolerable exception rate in attributes sampling, one way to improve the reliability of the results is to increase the sample size, which can help reduce the margin of error and provide more accurate estimates of the population parameters. This is because larger sample sizes tend to yield more representative samples and can help mitigate the effects of sampling variability. However, increasing the sample size is not the only option, and other factors such as the cause of the exceptions and the costs and benefits of different sampling strategies should also be considered before making a decision.

When the Sample Exception Rate Is Greater Than the Tolerable