A box plot displays a data set’s five-number summary: minimum, lower quartile, median, upper quartile, and maximum; the box represents the middle 50% of the data, while the whiskers extend to the extremes shown. Interpretation involves reading approximate values from the scale and comparing data sets by center, overall range, and interquartile range, while recognizing that a box plot does not reveal every individual value. Formal outlier rules and advanced distribution analysis are not included.
A box plot is a picture that summarizes a data set using five values:
The box goes from to , so it shows the middle of the data. The lines called whiskers extend from the box to the minimum and maximum.
Suppose a box plot has these values:
10 14 18 22 30
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The five-number summary is:
Step 1: Find the center.
The median is the line inside the box:
So, the middle of the data is about .
Step 2: Find the overall range.
The range goes from the minimum to the maximum:
So, the data values spread across units.
Step 3: Find the interquartile range.
The interquartile range, or IQR, describes the width of the box:
So, the middle of the data is spread across units, from to .
Step 4: State what the box plot tells you.
A good interpretation is:
The data has a median of about . The values range from about to . The middle of the data lies between about and .
Remember that a box plot shows a summary, not every individual data value. You cannot tell the exact values of all the data points from the box plot.
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