Researchers often interact with diverse data sets during their research work. In **statistics**, the statistical range of data is fundamental to establish the **difference** between the highest and lowest value.

## Definition: Statistical range of data

Statistical range of data refers to the **variation** between the **largest value** and **minimum value** within a data set.

One can calculate the statistical range of data by **subtracting** the minimum value from the maximum value. If the range is large, the values have high variability. If the range is small, the values have minimal variability.

## Calculating the statistical range of data

The formula applied in calculating the range is:

represents range

stands for the maximum value in a data set

represents the lowest value in a data set

This formula helps one measure the variability of the values in a data set. For one to determine this variability, they should observe the following steps:

- Arrange all the values from a data set
**from the lowest to the highest**. -
**Subtract**the**minimum**value**from**the**maximum value**.

These steps **apply to all forms of values**, including fractions, negative values, positive values, and whole numbers. One has to be **cautious when dealing with negative values** as a value with a **big number** **does not equate** to **having a bigger value**.

## What can the statistical range of data tell you?

A statistical range of data is an **essential measure of variability** **in a data set that does not have extreme values**. This range when combined with units of **central tendency** can help a researcher** establish the span of distribution**.

## The statistical range of data with outliers

While a statistical range of data is a good and effective way to determine the spread of the values within a data set, it can sometimes have **outliers**. An outlier refers to a data value that is **abnormally distant from the other values**.

In the case of outliers, the range may not be an accurate indication of values’ spread/ variability. This inaccuracy is because one extreme value alters the range completely.

**Using the example above with an outlier in place of one of the values:**

The new data set with an outlier has a **significantly higher range**, which signifies **more** **variability** than exists among these values. This large range is not an accurate representation as most of the values are closer to the middle value.

The statistical range of data only uses **two values** to determine variability. As such, the variability can be **influenced by outliers**. One cannot rely on this individual method to determine the values’ frequency of distribution.

## FAQs

One finds the statistical range of a data set by **subtracting the minimum value of the dataset from its maximum value**.

A range refers to the difference in variation between the biggest value and smallest value in a data set. The range is the** simplest tool** adapted** to determine variability**.

**Yes.** The statistical range of data applies to** any type of values in a data set**, including fractions.

One can easily find outliers by **sorting the values from the lowest to the highest values.** If there’s an **abnormal difference** between these values, there is an outlier.

Other methods of finding outliers include **interquartile range** and other statistical procedures.