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This degrees of freedom calculator computes the number of independent values in a dataset for statistical tests, including t-tests, chi-square, and ANOVA. It automatically applies the correct formulas based on your inputs to deliver fast and accurate results.
Degrees of freedom (DOF) represent the number of independent values in a dataset that can vary while calculating a statistical parameter.
Here are the formulas for common statistical tests:
1-Sample t-Test:
For a one-sample t-test:
df = N - 1
Where:
2-Sample t-Test:
For two-sample t-tests, the formula depends on whether variances are equal or unequal:
Equal Variances:
df = N₁ + N₂ - 2
Where:
Unequal Variances:
df = (σ₁²/N₁ + σ₂²/N₂)² / [(σ₁²)² / (N₁² * (N₁ - 1)) + (σ₂²)² / (N₂² * (N₂ - 1))]
Where:
For ANOVA tests, the degrees of freedom are calculated as:
Between Groups: df = k - 1
Within Groups: df = N - k
Total Degrees of Freedom: df = N - 1
For a Chi-Square test:
df = (rows - 1) * (columns - 1)
For faster and precise calculations, you can also use our degrees of freedom calculator.
Example #1:
Find the degrees of freedom for a t-test with 23 observations.
Solution:
Given: N = 23
Using the formula for a one-sample t-test:
df = N - 1 = 23 - 1 = 22
Example #2:
Calculate degrees of freedom for a Chi-Square table showing marital status by education:
| 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:
Number of columns = 5
Number of rows = 4
Degrees of freedom formula: df = (rows - 1) * (columns - 1)
Calculation: df = (4 - 1) * (5 - 1) = 3 * 4 = 12
Follow these steps to correctly use the degrees of freedom calculator:
Input:
Output:
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