Data points at the extremes of the distribution have
A) little effect on the variance.
B) distort the usefulness of the median.
C) more effect on the variance than scores at the center of the distribution.
D) are undoubtedly incorrect.

Question

Quizplus · Accepted Answer

Data points at the extremes of the distribution have more effect on the variance than scores at the center of the distribution. This is because the variance is calculated by finding the difference between each data point and the mean, squaring each difference, and then averaging the squared differences. Data points that are far from the mean will have larger squared differences, which will have a greater impact on the overall variance.

Data Points at the Extremes of the Distribution Have