## Table of contents

### Using “Range” as a Measure of Data Spread or Dispersion

A measure of dispersion tells you the spread of the data. This is important to know the spread of your data when describing your data set. Most describe a set of data by using only the mean or median leaving out a description of the spread.

There are two main measures of spread or dispersion:

**In this article we will discuss the RangeIn statistics, the range of a set of data is the differenc... Learn More... of the DistributionUsed for determining the confidence interval for means or fo... Learn More...**

The Range is the difference between the largest and the smallest observations in a set of data. It is a rudimentary measure of variability. Range does not give us an idea about the spread of the observations around some central value.

### Advantages of using Range as a Measure of Spread or Dispersion

- Range can be calculated easily.
- It is a simplest measure of dispersion.

### Limitations of using Range as a Measure of Spread or Dispersion

- Range is not based on all the observations of the series. It takes into account only the most extreme cases.
- It helps us to make only a rough comparison of two or more groups of variability.
- The range takes into account the two extreme scores in a series.

Thus when the number of data in the data set is small or when there are large enough gaps in the distribution, range is unreliable.as measure of variability.

**Do you have an example of using Range as a measure of spread during a Lean Six Sigma project or in a management meeting? If you do, let us know in the comments below…**