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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.

**The possible values in a dataset that can be altered to get the proper estimation of the data are called 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:

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)**

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

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.

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

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

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

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