A common problem underlying significant variance is that the standard is too low or too high.

Question

Quizplus · Accepted Answer

If the standard is too low, then people are not being held to a high enough level of excellence, which can lead to subpar performance and large variances in the data. If the standard is too high, then it may be unrealistic and unattainable, leading to frustration and again, large variances in the data. Finding the right balance in setting the standard is important in achieving consistent and accurate results.

A Common Problem Underlying Significant Variance Is That the Standard