Question

When a quantitative data set is significantly affected by ______, then the arithmetic mean is usually not a good measure of central location.

Answer 1

Outliers

Explanation:

What are outliers?
In statistics, an outlier is a data point that differs significantly from other observations.

An outlier may be due to a variability in the measurement, an indication of novel data, or it may be the result of experimental error; the latter are sometimes excluded from the data set.

Since they are far removed from the rest of the data, they can impact the mean of the distribution resulting in the mean not being a good measure of central location