Measures of Central Tendency

The measures of central tendency help us understand the "center" or "average" value in a dataset. These are useful for summarizing data and giving a single value that represents the entire dataset. There are three main measures: mean, median, and mode. Let’s break them down with simple explanations, formulas, and examples.

1. Mean (The Average)

The mean is the most common way to find the average of a dataset.

Formula

Mean= Number of data points / Sum of all data points​

Example

Let’s say we have the following numbers: 10, 20, 30, 40, 50.

  1. Add them: 10+20+30+40+50=150

  2. Divide by the total number of values (5): Mean = 150 / 5 = 30

So, the mean is 30.

2. Median (The Middle Value)

The median is the middle value of a dataset when it is arranged in order. If there is an even number of values, the median is the average of the two middle values.

Steps to Find the Median

  1. Arrange the data in ascending order.

  2. Identify the middle value (or take the average of the two middle values if the number of data points is even).

Example

For the numbers: 12, 15, 18, 20, 22 (already in order):

  • The middle value is 18. So, the median is 18.

For the numbers: 8, 10, 12, 14, 16, 18:

  • There are 6 numbers, so the middle two values are 12 and 14.

  • Find their average: Median= (12 + 14) / 2 = 13

So, the median is 13.

3. Mode (The Most Frequent Value)

The mode is the value that appears most often in the dataset. A dataset can have:

  • One mode (unimodal)

  • Two modes (bimodal)

  • No mode if all values occur equally.

Example

For the numbers: 4, 5, 5, 6, 7, 8:

  • The number 5 appears twice, which is more than any other number.

  • So, the mode is 5.

For the numbers: 3, 3, 5, 5, 7, 9:

  • Both 3 and 5 appear twice.

  • So, the dataset is bimodal, with modes 3 and 5.

Comparison of Mean, Median, and Mode

MeasureBest Used WhenStrengthWeakness
MeanData has no extreme valuesEasy to calculate, uses all valuesSensitive to outliers
MedianData has extreme values or is skewedNot affected by outliersDoes not use all data points
ModeYou need the most common valueSimple and easy to understandMay not exist in some datasets

The mean, median, and mode are essential tools for analyzing data. Each has its strengths and is suitable for different scenarios:

  • Use the mean for general averages.

  • Use the median when the data has extreme values.

  • Use the mode to find the most common value.

By understanding these measures, you can make better sense of any dataset and uncover valuable insights!