If you are looking for a fairer way to summarize a set of data, this median calculator is for you. The mean, or average, of a dataset, can be significantly affected by a few extreme values, whereas the **median is less sensitive**. Read on to learn how to find the median, how to find the median of a set of numbers using the median formulas, and what the median symbols used in statistics books mean.

## What does median mean? - Median definition

The median value of a set of numbers is the value at which **half of the numbers in the set are below it and the other half are above it**. It is a measure of the center of a sample or population, and is sometimes called the "middle" number.

It is similar to the average (or mean) value. However, if you have a dataset with a few values that are extremely large or small compared to the rest, the median is a better measure of the "typical" value.

Let's look at an example that illustrates the difference between the median and the mean. For the data set **4, 5, 6, 7**, the mean and median are the same with a value of **5.5**. If we **add the number 88**, the mean jumps up to **22**, whereas the median only increases slightly to **6**. So, for skewed data sets, such as household income, the median is a better measure of the typical value.

## Median vs mode

What about median vs mode? The mode is the value from a dataset that appears the greatest number of times. For a normal distribution, the mode will have the same value as the median and the mean. For skewed distributions, these three values can differ greatly.

## Median symbol

There is no standard median symbol, but some commonly used ones are **x᷉**, **μ _{1/2}**, and

**.**

*M*## How to find the median number using median formulas?

We now know how the median number is defined, so we should look at how to calculate the median. The **first step** is to sort the values into numerical order (or reverse numerical order - you'll get the same result!).

The **second step** is to find the middle number or numbers in the sorted dataset. How you do this depends on whether there's an odd or even number of values in your dataset.

If there are an **odd** number of values, the median is simply the middle number. For the dataset **3, 5, 7, 9, 11**, the number

**7**is the middle number, with two values either side. So the median is

**7**.

For a dataset with an **even** number of values, you take the mean of the two center values. So, if the dataset has the values, **1, 4, 7, 9**, the two center values are 4 and 7. The mean of these middle values is

`(4 + 7) / 2 = 5.5`

, so the median is **5.5**.

We can also write down **two formulas for finding the median**, one for the odd case, and another for the even scenario.

`median (odd dataset) = x`_{(n+1)/2}

`median (even dataset) = (x`_{n/2} + x_{(n+2)/2}) / 2

where:

`x`

is a value in the sorted dataset, with the subscript indicating its position in the sorted list; and`n`

is the number of values in the dataset.

So, the odd dataset median formula says, **add one** to the number of values and **divide by 2** to find the index of the median number. The even median formula says to take the `n/2`

'th and the `(n+2)/2`

'th values and **calculate their mean value** to find the median.

## How to use this calculator to find the median?

Here's how to use our median calculator to find the median of a dataset. It can also show you the step-by-step procedure to manually calculate the answer.

- Enter your data row by row, with
**one number in each row**of the median calculator. As you enter the numbers a new row will appear for you to enter the next value. The calculator supports datasets with up to 50 values. - The
**median number**will be displayed for you as you go along. - If you want to see the steps used to reach the answer,
**select "Yes"**from the drop-down menu where the calculator asks "Show step-by-step solution?". - If you want to
**analyze another dataset**, click the reload button at the bottom of the calculator.

## How to find the median of a set of numbers?

Let's show an example of a step-by-step solution for a dataset with the following 15 values:

`58, 47, 55, 6, 5, 14, 60, 3, 39, 6, 28, 15, 87, 31, 19`

Sorting the numbers we get:

`3, 5, 6, 6, 14, 15, 19, `

__28__, 31, 39, 47, 55, 58, 60, 87

There are 15 values, so using the formula `(n + 1) / 2`

and using `n = 15`

, we find that we need the 8th number in the sorted dataset. So the median is **28**.

Another dataset has 16 values:

`71, 71, 5, 18, 98, 23, 53, 92, 74, 82, 65, 74, 97, 75, 87, 13`

Sort them to get:

`5, 13, 18, 23, 53, 65, 71, `

__71__, __74__, 74, 75, 82, 87, 92, 97, 98

Using the formula for median when there is an even number of values, we need to take the mean value of the `n/2`

'th and `(n+2)/2`

'th values. So that's the **8th** and the **9th** values, which are 71 and 74 respectively. Then we need to take the mean of these values: `(71 + 74) / 2 = 145 / 2 = 72.5`

. So the median is **72.5**.