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Calculators and Calculations
Home›Calculators and Calculations›How to Calculate a Median: A Step-by-Step Guide

How to Calculate a Median: A Step-by-Step Guide

By Matthew Lynch
October 14, 2023
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Introduction

Median is a statistical term that represents the middle value in a dataset. It is an essential measure that provides a more accurate depiction of the data’s central tendency, particularly when dealing with skewed datasets. Unlike average or mean, which can be skewed by outliers, the median offers a more reliable and stable representation of the dataset. In this article, we will walk you through the step-by-step process of calculating the median for both odd and even number of data points.

Step 1: Organize the Data

To calculate a median, first, you need to arrange your data in ascending or descending order. If you are working with a large dataset or have unsorted data, it may take some time to manually sort it. You can use tools like Microsoft Excel or Google Sheets to automatically sort your data.

For example, let’s consider the following dataset:

12, 4, 25, 16, 8

First, we organize the data in ascending order:

4, 8, 12, 16, 25

Step 2: Identify the Number of Data Points

Count the total number of data points (N) in your organized dataset. In our example:

N = 5

Step 3: Calculate the Median for Odd Number of Data Points

If your dataset has an odd number of data points (N is odd), then the median is achieved by selecting the middle value from your sorted dataset.

Median = [(N+1)/2]th Value

For our example:

Median = [(5+1)/2]th Value

Median = [6/2]th Value

Median = 3rd Value (in our sorted dataset)

Median = 12

Thus, the median for our dataset is 12.

Step 4: Calculate Median for Even Number of Data Points

If your dataset has an even number of data points (N is even), then the median is achieved by calculating the average of the two middle values from your sorted dataset.

Let’s consider a new dataset:

7, 12, 20, 4, 16, 10

First, organize the data in ascending order:

4, 7, 10, 12, 16, 20

Now, count the total number of data points (N):

N = 6

Median = ( [(N/2)th Value] + [(N/2)+1]th Value ) / 2

For our example:

Median = ( [6/2]th Value + [(6/2)+1]th Value ) / 2

Median = ( [3rd Value] + [4th Value] ) / 2

Median = (10 + 12) / 2

Median = 22 / 2

Median = 11

Thus, the median for this dataset is 11.

Conclusion

Calculating the median can provide a better representation of the central tendency of a dataset when compared to average or mean. It is essential to organize your data and apply the correct steps to calculate the median accurately for datasets with an odd or even number of data points. With these simple steps and some practice, you’ll be able to quickly determine medians for any dataset.

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