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The range is the difference between the maximum and the minimum value of a sample on a given variable. It is calculated by subtracting the minimum value from the maximum value: range = max – min. Consider a group of people who are 25, 27, 29, 25, 26, and 42 years old. The range would be calculated by subtracting 25 from 42 resulting in 17.

As easy as the range is to calculate, it is sensitive to extreme values, which are referred to as outliers. As can be derived from the age group example, the person who is 42 years old can be seen as an outlier because all other people in the group are in their 20s and are clearly younger. If we describe this group of people by using the age range we would include the person with 42 years. However, it might give the wrong idea about the real age distribution because most people have a similar age, but the range concerning age is still big. Thus, reporting the range has advantages as well as disadvantages, which will be discussed within this entry, including the benefit of reporting the range depending on the sample and how it is related to other measures that describe the variability of values.

How and When to Report the Range

The range belongs to the measures of dispersion and it is used to describe how big the span of all values is. It can be used in cases in which the level of measurements is at least interval-level data. Reporting the range is useful if specific data samples are compared and one wishes to show how much the span of all values differs between the samples. The age example previously described in this entry included a range of 17. If we want to compare this first group to another group of people who are 24, 26, 27, 29, 25, and 29 years old, resulting in a range of 29 − 24 = 5, we can see that the distance between the youngest and the oldest member of both groups differs quite a lot: 17 years compared to 5 years. In that case, reporting the range is of value, especially if one wants to focus on the differences regarding the age span within each groups, for instance, when family structures (e.g., age of siblings and cousins) are described. Imagine our two groups were families; thus, we see that the biggest age difference in the first family is larger than in the second one.

Describing the range for small samples can be useful but, if and how to report it depends on what the researcher wants to describe. On the other hand, the range is of little use in cases in which big data samples are described, because extreme values are still taken into account even if their occurrence is quite infrequent. In the case of such a sample, outliers are specific events that are rare and the question arises of how much value the description of the sample dispersion is if these outliers are taken into account. If these outliers are not only rare but also of extreme values, the range does not mirror the real variability of the sample but blurs it. In that case, range should not be reported. Instead, the inter-quartile range is of more value.

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