The degree of freedom is the range of the dataset which can vary. It is the maximum number of independent variables that can affect the dataset values’ outcome.

In a marketplace, you may encounter various situations, and the degrees of freedom calculator makes it possible to predict all the uncertain variables. If you are able to predict a certain variable that can affect the mode of nature of the marketplace.

Then it is better to estimate the variance before investing in such a marketplace. You can predict how a certain market can react in the future by finding the nature of the independent variables.

In this article, we are discussing what is the degree of freedom, and how to calculate degrees of freedom.

What is the Degree of Freedom?

“ The degrees of freedom formula assists to identify the number of independent variables. The independent variable can alter without any constraints in certain dataset values”.

The degree of freedom calculator assists with a number of independent variables. Test the real-time data with a degree of freedom formula and can compare it with the statistical data. 

How to Calculate Degrees of Freedom?

Try to understand the degree of freedom by the following example, use the degree of freedom calculator to find the degree of freedom of various dataset values.

Example 1:

Take a data set value of the five positive numbers {3, 8, 5, and 4}, and their average is 6. The four numbers are {3, 8, 5, and 4}  you can change them but the last number would be 10 in every case.t. Find the degree of freedom by the degree of freedom calculator. You can say the first 4 numbers are random 3, 8, 5, and 4}, but the last number should be 10 in every case

Consider the 4 numbers in the dataset = (3+5+4+8)

If the average of the 5 number = 6 


Last number = 10

Now add all the number = (3+5+4+8

Then take the average of numbers= (3+5+4+8+10)/5

Then the average is =  6

The degrees of freedom calculator assist and make it possible to find all the dataset values in a matter of moments.

The Degree Freedom formula for 1 sample test?

The degrees of freedom for 1 sample test and dataset values can be measured by the total number of variables subtracted from one.  

Consider the take the total sample size as “N”, and then the degree of freedom as “ Df”. 

1 Sample test:

The  1 sample test formula for degrees of freedom is given below:

Df = N-1


Df =The degree of freedom of dataset values

N= The sample size of dataset values 

The degrees of freedom calculator assist to find the variance and dispersion of the statistical data.  

The Degrees of Freedom for 2 sample tests?

Consider the dispersion of both datasets is equal, or the variance is the same then solve the degree of freedom by the given formula:

df = N₁ + N₂ – 2

N₁ = The First sample entities 

N₂ = The Second sample entities 

You can estimate the degree of freedom of 2 sample degrees of freedom by the degrees of freedom calculator. 


The degrees of freedom calculator makes possible all the information on the degree of freedom of statistical processes and measurements. The degree of freedom of each dataset is used to extract the results of the data. 

By estimating the degree of freedom, you can compare the real-time data with the dataset in your hands. You can determine all the variables by measuring the degree of freedom measurement.