Which term is used to describe a distribution feature where the tail extends to the right?

Which term is used to describe a distribution feature where the tail extends to the right?

• A. Positive Skew
• B. Negative Skew
• C. Skewness
• D. Outlier

Answer: (A)

A distribution with a tail that extends to the right is called positively skewed (right-skewed). This describes the overall shape where most data cluster on the left and a few larger values pull the tail to the right. Skewness is the general term for asymmetry in a distribution, but the question is asking for the specific tail direction, which is positive skew. A left-tailed, or negatively skewed, distribution has the tail on the left. An outlier is just a single extreme value, not the overall tail direction, and skewness is a measure of asymmetry rather than the particular tail behavior.

A distribution with a tail that extends to the right is called positively skewed (right-skewed). This describes the overall shape where most data cluster on the left and a few larger values pull the tail to the right. Skewness is the general term for asymmetry in a distribution, but the question is asking for the specific tail direction, which is positive skew. A left-tailed, or negatively skewed, distribution has the tail on the left. An outlier is just a single extreme value, not the overall tail direction, and skewness is a measure of asymmetry rather than the particular tail behavior.