A box-and-whisker plot represents a data set through its five-number summary: minimum, lower quartile, median, upper quartile, and maximum. Interpretation includes reading values from the scale, understanding that quartiles divide the data into approximate quarters, calculating or comparing range and interquartile range, and using median and spread to compare distributions while recognizing possible skewness; formal outlier tests, modified box plots, and advanced statistical inference are not included.
A box-and-whisker plot shows a data set using five important values:
The box shows the middle 50% of the data, and the whiskers extend to the minimum and maximum.
Suppose a box-and-whisker plot has these values when read from its scale:
The five-number summary is
So, the smallest value is , and the largest value is .
The range describes the spread from the minimum to the maximum:
The data values spread across units.
The interquartile range, or IQR, describes the spread of the middle 50% of the data:
The middle half of the data is spread across units, from to .
Because , about one-quarter of the data values are or less.
Because the median is , about half of the data values are or less, and about half are or greater.
Because , about three-quarters of the data values are or less.
The distance from the minimum to the median is
while the distance from the median to the maximum is
The upper side is a little more spread out than the lower side, so the data may be slightly skewed to the right. However, a box plot does not always show a perfectly clear shape.
When comparing box plots, compare:
Always read each value carefully from the plot’s scale before calculating.
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