If we were to graph the relationship of sample size (x-axis) to sample accuracy (y-axis), we would notice that:
A) There is a linear relationship between size and accuracy.
B) Accuracy increases quickly, up to about sample size 500, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 2,000.
C) Accuracy increases quickly, up to about sample size 5,000, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 200,000.
D) Accuracy increases quickly, up to about sample size 50, and then accuracy levels off with relatively small gains made even when sample size is increased to as much as 100.
E) We cannot graph just sample size and accuracy because we must also include the level of confidence and the variability within the sample data.

Question

Quizplus · Accepted Answer

This is known as the law of diminishing returns in statistics, where as sample size increases, the gains in accuracy become smaller and eventually level off. This typically occurs around sample size 500-2000.

If We Were to Graph the Relationship of Sample Size