A random sample of customers was asked to select their...

A random sample of customers was asked to select their favorite soft drink from a list of five brands. The results showed that 30 preferred Brand $\mathrm{A}, 50$ preferred Brand B, 46 preferred Brand C, 100 preferred Brand D, and 14 preferred Brand $\mathrm{E}$. a. Construct a pie chart. b. Construct a bar chart.

A random sample of customers was asked to select their favorite soft drink from a list of five brands. The results showed that 30 preferred Brand $\mathrm{A}, 50$ preferred Brand B, 46 preferred Brand C, 100 preferred Brand D, and 14 preferred Brand $\mathrm{E}$.
a. Construct a pie chart.
b. Construct a bar chart.

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Key Concepts

Pie Chart

A pie chart is a circular statistical graphic, which is divided into slices to illustrate numerical proportions. Each slice's angle and area are proportional to the quantity it represents, making the pie chart especially useful for comparing parts to a whole in a visual and intuitive way.

Bar Chart

A bar chart is a graph that represents categorical data with rectangular bars with lengths proportional to the values they represent. It is effective for comparing the frequency, count, or other measures (such as mean) for different categories by displaying them as separate bars.

Categorical Data

Categorical data refers to variables that contain label values rather than numeric values, where data can be divided into groups or categories. These types of data are commonly represented using graphical tools like pie charts or bar charts to illustrate the distribution across categories.

Frequency Distribution

A frequency distribution organizes data into categories and displays how many observations fall into each category. It is useful for summarizing data sets, and it forms the basis for creating visualizations such as pie charts and bar charts that highlight the relative frequencies of the categories.

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