Which features describe the distribution of data in a histogram?

• A. Symmetry, skewness, gaps, clusters, outliers, and range.
• B. The mean and standard deviation only.
• C. Only the maximum value.
• D. Color of the bars.

Answer: (A)

Histograms show how data are spread across different values, so the distribution’s shape is described by features like symmetry, skewness, gaps, clusters, outliers, and range. Symmetry means the left and right sides look similar, while skewness indicates a longer tail on one side. Gaps are empty intervals where no data fall, and clusters are dense groups of values. Outliers are data points far from the rest, and the range is the difference between the smallest and largest values, showing overall spread. The color of the bars is just a visual choice and doesn’t tell you anything about the data itself. Together, these aspects describe how the data are arranged in the distribution, beyond what a single number like the mean or standard deviation can show.