Which of the following is a correct statement about histograms and bar graphs?

• A. Bar Graphs Are Qualitative
• B. Histograms Are Qualitative
• C. Histograms Are Quantitative
• D. Bar Graphs Are Quantitative

Answer: (C)

The key idea is how each chart handles data type and distribution. A histogram is built to show how a numeric (quantitative) variable is distributed across a range of values. Data are grouped into adjacent intervals, or bins, and the height of each bar represents how many observations fall into that interval (or the proportion/density). Because the variable is continuous and the intervals touch, histograms convey distribution across a numeric scale.

Bar graphs, on the other hand, are used for categorical (qualitative) data or for comparing discrete categories. Each bar represents a category, and there’s usually a space between bars to indicate that the categories are distinct and not part of a continuous scale. Bar graphs are best for counting or comparing categories, not for displaying a distribution of a continuous variable.

So the statement that histograms are quantitative is the best answer because histograms deal with numerical data and show its distribution across numeric intervals. Bar graphs are typically qualitative, which is why the other approach wouldn’t fit as well.