What does a right-skewed histogram indicate about the data distribution?

• A. Most data are concentrated on the left with a tail on the right
• B. Most data are concentrated on the right with a tail on the left
• C. The data are evenly distributed across the range
• D. The distribution is perfectly symmetric around the center

Answer: (A)

Right-skewness means a histogram has a longer tail on the high-value side, with most observations clustered toward the lower values. In that shape, a few larger values pull the tail to the right, so the bulk of the data sits on the left. That description matches the statement: most data are concentrated on the left with a tail extending to the right. If data were concentrated on the right with a left tail, it would be left-skewed; if the data were evenly spread, there’d be no skew; if the distribution were perfectly symmetric, the left and right sides would balance around the center.