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Choose an appropriate data display

Choosing an appropriate data display means matching the representation to the data and the question: bar graphs for categorical frequencies, dot plots for individual numerical values, histograms for numerical data grouped into intervals, and box plots for summarizing and comparing distributions. The choice preserves meaningful features such as frequencies, clusters, gaps, center, and spread rather than suggesting patterns the data do not support; selecting displays for bivariate relationships or advanced statistical graphics is not included.

Detailed Explanation: Choose an appropriate data display

The best data display depends on what kind of data you have and what you want to see.

  • Bar graph: Use for categories, such as favorite sports or types of pets. The bars show how many are in each category.
  • Dot plot: Use for individual numerical values, such as the number of books students read. Each dot represents one value.
  • Histogram: Use for numerical data grouped into intervals, such as test scores grouped from 60606969, 70707979, and so on.
  • Box plot: Use to summarize and compare numerical distributions by showing the center and spread.

Worked example

A teacher records the number of books read by 1212 students:

2, 3, 3, 4, 4, 4, 5, 6, 6, 7, 8, 102,\ 3,\ 3,\ 4,\ 4,\ 4,\ 5,\ 6,\ 6,\ 7,\ 8,\ 10

Step 1: Identify the type of data.

The data are numbers, so they are numerical data.

Step 2: Decide what the display should show.

There are only 1212 values, and we want to see each student’s number of books. The repeated values, gaps, and overall shape will be useful.

Step 3: Choose the display.

A dot plot is the best choice because it shows every individual value. A dot plot would look like this:

Number of books
 2   •
 3   ••
 4   •••
 5   •
 6   ••
 7   •
 8   •
 9
10   •

The three dots above 44 show that three students read 44 books. The empty space above 99 shows that no student read 99 books.

A bar graph would not be the best choice because the values are numerical, not categories. A histogram would be useful if there were many values grouped into intervals, and a box plot would be useful if we wanted only a summary of the center and spread.

Learn by doing: Choose an appropriate data display

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Statistics - Histograms - Frequency Table to Histogram


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