Tolerable exception rate (TER) is inversely related to sample size.

Question

Quizplus · Accepted Answer

Tolerable exception rate (TER) is the maximum percentage of errors that can be tolerated in a population without rejecting it. TER is generally calculated using statistical methods, and it depends on the level of confidence desired and the sample size used. As the sample size increases, the accuracy of the results increases, resulting in a decrease in the tolerable exception rate. Therefore, TER is inversely related to sample size.

Tolerable Exception Rate (TER) Is Inversely Related to Sample Size