# What does mean deviation tell you?

The

**mean**absolute**deviation**of a set of data**is the**average distance between each data value and the**mean**. The**mean**number of contacts stored and the distance each data value is from the**mean**is shown below. Each data value is represented by an ×. 48. 52.A.

### What is the meaning of deviation?

The average of these numbers (6 ÷ 5) is 1.2

**which is the mean deviation**. Also called**mean**absolute**deviation**, it is used as a measure of dispersion where the number of values or quantities is small, otherwise standard**deviation**is used.#### Why do we calculate mean deviation?

**Mean**absolute**deviation**(MAD)**Mean**absolute**deviation**(MAD) of a data set is the**average**distance between each data**value**and the**mean**.**Mean**absolute**deviation**is a way**to**describe variation in a data set.**Mean**absolute**deviation**helps us get a sense of how "spread out" the values in a data set are.#### What is the definition of mean deviation?

**Definition of mean deviation**. : the**mean**of the absolute values of the numerical differences between the numbers of a set (such as statistical data) and their**mean**or median.#### What is the difference between mean deviation and standard deviation?

The**standard deviation**is simply the square root of the variance. The average**deviation**, also called the**mean**absolute**deviation**, is another measure of variability. However, average**deviation**utilizes absolute values instead of squares to circumvent the issue of negative**differences between**data and the**mean**.

Updated: 4th December 2019