If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples. NoteTo get a clear idea of your data’s variability, the range is best used in combination with other measures of variability like interquartile range and standard deviation. It can’t tell you about the shape of the frequency distribution of values on its own. Although we have a large range, most values are actually clustered around a clear middle.īecause only two numbers are used, the range is easily influenced by outliers. In the example above, the range indicates much more variability in the data than there actually is. With an outlier, our range is now 42 years. Using the same calculation, we get a very different result this time: Range example with an outlierOne value in your data set is replaced with an outlier. One extreme value in the data will give you a completely different range. When paired with measures of central tendency, the range can tell you about the span of the distribution.īut the range can be misleading when you have outliers in your data set. Range is the simplest and quickest way to make sense of the given data points. The range generally gives you a good indicator of variability when you have a distribution without extreme values. The definition of range in math can be given as the difference between the maximum value and minimum value within the set. Then subtract the lowest from the highest value. Participantįirst, order the values from low to high to identify the lowest value ( L) and the highest value ( H). Range exampleYour data set is the ages of 8 participants. ![]() This process is the same regardless of whether your values are positive or negative, or whole numbers or fractions. ![]()
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