Using the Mode as a Measure of Central Tendency

Using “Mode” as a Measures of Central Tendency

A measure of central tendency is a single value that describes the way in which a set of data cluster around a central value. In other words, it is a way to describe the center of a data set.

The three main measures of central tendency are:

• Mean
• Median
• Mode

In this article we will discuss the Mode of the Distribution

The mode is a measure of central tendency that represents the most frequently observed value or range of values in a set of data. If there are two separate values that appear most often, the set is said to be “Bi-modal”.

When to use the Mode as a measure of central tendency?

The mode is useful when the set of data:

• has more than one segment (or multi modal)
• is badly skewed, or
• it is necessary to eliminate the effect of extreme values.

If you have any examples of using the Mode as a measure of central tendency, please  tell us in the comments below.