Degrees of Freedom Calculator

Calculate degrees of freedom for various statistical tests including t-tests, ANOVA, and chi-square tests

Parameters

Statistical Test Type*

Selected: Sample (t-test, CI)

Sample/Population Size (n) [Required for: Sample, Population, ANOVA Within]

Number of Groups (k) [Required for: ANOVA Between, ANOVA Within]

Number of Rows [Required for: Chi-Square]

Number of Columns [Required for: Chi-Square]

Degrees of Freedom Result

Degrees of Freedom:29

Formula Used:n - 1

Explanation:

The degrees of freedom for a sample is calculated as the sample size (n = 30) minus 1, resulting in 29 degrees of freedom. This adjustment is made because one degree of freedom is lost when estimating the population parameter.

How to Use This Result

The degrees of freedom value is used in various statistical tests:

Look up critical values in statistical tables
Determine the probability associated with test statistics
Calculate confidence intervals
Evaluate the significance of test results

For more information, refer to the related calculators such as t-tests, ANOVA, or chi-square tests.

Parameters

Statistical Test Type*

Selected: Sample (t-test, CI)

Sample/Population Size (n) [Required for: Sample, Population, ANOVA Within]

Number of Groups (k) [Required for: ANOVA Between, ANOVA Within]

Number of Rows [Required for: Chi-Square]

Number of Columns [Required for: Chi-Square]

How to use the Degrees of Freedom Calculator

Select the type of statistical test from the dropdown menu
Enter the required parameters based on your selected test type
View the calculated degrees of freedom along with the formula used and explanation
Use the result in your statistical hypothesis testing or confidence interval calculations

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Chi-Square Test Calculator

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by @scottpaulin