A box plot represents a numerical distribution with a scale and five-number summary: minimum, lower quartile, median, upper quartile, and maximum, with the interquartile range (IQR) showing the spread of the middle half of the data. Constructing one requires ordering data and locating quartiles consistently; interpreting one involves comparing center, variability, skewness, and possible outliers, while recognizing that a box plot does not display individual data values or determine the mean.
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To construct a box plot, first find the five-number summary:
The box represents the middle of the data, from to . The line inside the box is the median, and the whiskers extend to the minimum and maximum.
Construct and interpret a box plot for this data set:
The data are already in order.
There are values, so the median is the average of the 6th and 7th values:
The lower half is:
Its median is the average of the 3rd and 4th values:
The upper half is:
Its median is the average of the 3rd and 4th values:
The interquartile range measures the spread of the middle half:
A box plot for this data would have:
The actual graph should be drawn to scale.
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