When you are examining data to look for trends, which type of data visualization is most appropriate for quantitative data?

• A. A bar chart with categories
• B. A histogram
• C. A pictogram
• D. A pie chart

Answer: (B)

Verified step by step guidance

1. Understand the nature of quantitative data: Quantitative data consists of numerical values that represent measurements or counts, which can be continuous or discrete.
2. Recognize that when examining trends in quantitative data, it is important to visualize the distribution and frequency of the data values.
3. Know that a histogram is a type of data visualization specifically designed to show the distribution of quantitative data by grouping data into intervals (bins) and displaying the frequency of data points within each bin.
4. Contrast this with other options: bar charts with categories are better for categorical data, pictograms use images to represent counts and are less precise, and pie charts show proportions of categories, not distributions of numerical data.
5. Conclude that a histogram is the most appropriate visualization for examining trends in quantitative data because it effectively displays the shape, spread, and central tendency of the data.