Question

characterize the skewness of a distribution if a value is significantly below the expected range?

skewed right
skewed left

Explanation:

Define skewness and outliers

Using the Outlier Effects knowledge point
An outlier is a data point that differs significantly from other observations. When a value is significantly below the expected range, it acts as an extreme low outlier on the left side of the distribution.

Analyze the effect of a low outlier

Using the Income Distribution Skewness knowledge point
An extreme low value pulls the mean of the distribution to the left, making the mean smaller than the median. This creates a long tail extending toward the lower values on the left side.

Determine the direction of skewness

A distribution with a long tail extending to the left is characterized as negatively skewed, which is also known as skewed left.

Answer:

• Skewed right
• Skewed left (Correct answer)