To generate the box plots for these three groups, press Ctrl-m and select the Descriptive Statistics and Normality data analysis tool.

Figure 1 summarizes the questionnaire scores from these groups. The 30 people are divided at random into 3 groups of 10 people each, where the first group evaluates Brand A, the second evaluates Brand B and the third evaluates Brand C. To generate a box plot, you can use the Box Plot option of the Descriptive Statistics and Normality data analysis tool found in the Real Statistics Resource Pack, as described in the following example. See also Special Charting Capabilities for how to create the box plot manually using Excel’s charting capabilities.Įxample 1: A market research company asks 30 people to evaluate three brands of tablet computers using a questionnaire. Specifically, a box plot provides a pictorial representation of the following statistics: maximum, 75 th percentile, median (50 th percentile), mean, 25 th percentile and minimum.īox plots are especially useful when comparing samples and testing whether data is distributed symmetrically. Another way to characterize a distribution or a sample is via a box plot (aka a box and whiskers plot).

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