Range

By Jude Wallis · Published

The range is a measure of spread equal to the largest value in a data set minus the smallest, reported as a single number rather than as an interval.

The range reports spread as one number: the maximum minus the minimum. It carries the units of the data, so a range of 36 points and a range of 36 seconds are different statements, and it can never be negative. Only two observations enter the calculation, so everything between them is invisible to it.

Take five test scores: 62, 71, 78, 84, 98. The maximum is 98, the minimum is 62, and the range is 9862=3698 - 62 = 36 points. Now replace the middle three scores with 63, 64, and 97. The range is still 36, even though the data now sit in two clumps at the ends instead of spreading out evenly. The range cannot tell those two classes apart.

The answer that costs marks is an interval. "The range is 62 to 98" says where the data live, which is a fine sentence in ordinary English and is not the statistic. The range is 36. If a question asks for the range and you write two numbers, you have reported the minimum and the maximum, which a boxplot already shows.

Two consequences of using only the extremes are worth holding onto. Adding an observation can never shrink the range, only leave it alone or widen it, so a larger sample from the same population tends to report a larger range even when nothing about the spread has changed. That makes the range a weak way to compare data sets of different sizes. And one mistyped value sets it outright: change that 98 to 980 and the range jumps to 918 while the median stays at 78.

The range is one of the summary statistics for a single quantitative variable in Unit 1 topic 1.7, alongside the interquartile range and the standard deviation. Both of those survive an extreme value far better, which is why the range is usually quoted as context rather than relied on as the measure of spread.

Where this comes up

19 pages on the site use this term.

More describing data terms, or browse the full statistics glossary.