Degrees of Freedom Calculator

Degrees of Freedom Calculator

Select the statistical distribution type, enter the necessary inputs, and the calculator will compute the probability of a continuous random variable

Test type

Sample Size (N)

Sample Size (N₁)

Sample Size (N₂)

Variance (σ₁)

Variance (σ₂)

Number of columns in the table

Number of rows in the table

Number of groups (k)

Degrees of freedom within groups

Degrees of freedom between groups

Hypothesized mean (h)

Sample mean (x)

Sample Standard Deviation

Use this degrees of freedom calculator to find out the crucial variable of one and two sample t tests and chi-square test and also ANOVA.

What Are Degrees of Freedom?

The possible values in a dataset that can be altered to get the proper estimation of the data are called degrees of freedom.

How To Find Degrees of Freedom?

No doubt the best way to calculate the statistical variable is by using free degree of freedom calculator. But you must also comprehend the manual calculations that are possible only if you take into consideration the following expressions:

Degrees of Freedom Formula:

Let’s have a look at the following statistical tests and their related formulas for degrees of freedom calculation:

1-Sample t-Test:

For this test, you can calculate dof by following the equation below:

df = N - 1

Where:

N = Total values present in a dataset

df = Degrees of Freedom

2-Sample t-Test:

Here we have a suitable partition for equal and unequal variances:

Equal Variances:

In case of equal dispersion of the data set, the degree of freedom is calculated by this formula:

df = N₁ + N₂ - 2

N₁ = First sample entities

N₂ = Second sample entities

Unequal Variances:

In case of unequal data expansion, the degree of freedom formula is given as:

df = (σ₁/N₁ + σ₂/N₂)2 / [σ₁2 / (N₁2 * (N₁-1)) + σ₂2 / (N₂2 * (N₂-1))],

Where:

σ = Variance (for calculations, tap variance calculator)

ANOVA:

For this statistical procedure, we have the following degrees of freedom equations:

Between Groups:

df = k - 1,

Within Groups:

df = N - k,

Overall DOF:

df = N - 1

Chi-Square Test:

The degrees of freedom statistics for Chi Squared test can be analysed by subjecting to the formula as given below:

df = (rows - 1) * (columns - 1)

For quick and better approximations, start using this best degrees of freedom calculator.

How To Calculate Degrees of Freedom?

Let’s move ahead and resolve a couple of examples to clarify the concept in more depth!

Example # 01:

How to find degrees of freedom for t Test with data values as 23?

Solution:

Here we have:

N = 23

Calculating degrees of freedom:

df = N-1

df = 23 -1

df = 22

Example # 02:

How to determine degrees of freedom for a Chi Square table representing the marital status by education below:

Status	Middle or Lower School (%)	High School (%)	Bachelor’s (%)	Master’s (%)	PhD (%)	Total (%)
Single	46	40	25	17	18	30
Married	31	40	54	67	64	50
Divorced	15	10	11	6	9	10
Widowed	8	10	11	11	9	10
Total	100	100	100	100	100	100

Solution:

Here we have:

Number of column = 5

Number of rows = 4

Performing degree of freedom calculation:

df = (rows - 1) * (columns - 1)

df = (4 - 1) * (5 - 1)

df = 3 * 4 df = 12

How Our Calculator Works?

Let's learn together how you can swiftly find degree of freedom in a couple of clicks with this free dof calculator. Stay with it!

Input:

From first drop-down list, select for which test you wish to find this particular variable
After you make a selection, do enter all required elements in their designated fields
At last, tap the calculate button

Output:

Degree of freedom for selected test type
T-Statistics
Standard Deviations

References:

From the source of Wikipedia: Degrees of freedom, Applications, Mechanics From the source of Study.com: Degrees of Freedom, critical values