The difference between the tolerable exception rate and the estimated population exception rate is called:
A)accuracy of the initial sample estimate.
B)inflation factor of the initial sample estimate.
C)precision of the initial sample estimate.
D)reliability of the initial sample estimate.

Question

Quizplus · Accepted Answer

The tolerable exception rate refers to the maximum acceptable deviation from the expected population exception rate, while the estimated population exception rate is the result obtained from analyzing the initial sample. The difference between these two values represents the precision, or the degree of accuracy and consistency, of the initial sample estimate. Option A is incorrect because accuracy refers to how close the sample estimate is to the true population value, while option B (inflation factor) and option D (reliability) are not relevant to the difference between tolerable and estimated exception rates.

The Difference Between the Tolerable Exception Rate and the Estimated