Which statement best describes the shape of a right-skewed histogram?

• A. It has most data on the right with a tail on the left.
• B. Most data are evenly distributed with no tail.
• C. The distribution is perfectly symmetric.
• D. Most data cluster on the left with a tail on the right.

Answer: (D)

Skewness describes where the tail of a distribution points relative to the bulk of the data. In a right-skewed histogram, most observations lie toward the left, and there is a tail stretching to higher values on the right. The statement that most data cluster on the left with a tail on the right captures this exact pattern, which is why it best describes a right-skewed distribution. It also implies many small values and fewer large values, which is why the tail extends to the higher end and can pull the mean upward. The other descriptions correspond to left-skew, no skew, or symmetric distributions, which do not match a right-skewed shape.