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Degrees of freedom: The degrees of freedom (df) indicate the number of independent values that can vary in an analysis without breaking any constraints.
The degrees of freedom (df) are listed along the left side of the table. Find the table row for the df you calculated in Step 2. If you need a df that isn’t listed, then round down to the next smallest number (e.g., use df = 40 instead of df = 46).
Use the t-distribution table by finding the intersection of your significance level and degrees of freedom. The t-distribution is the sampling distribution of t-values when the null hypothesis is true.
There isn’t just one chi-square distribution—there are many, and their shapes differ depending on a parameter called “degrees of freedom” (also referred to as df or k). Each row of the chi-square distribution table represents a chi-square distribution with a different df.
The column headed DF (degrees of freedom) gives the degrees of freedom for the values in that row. The columns are labeled by ``Percent''. ``One-sided'' and ``Two-sided''. Percent is distribution function - the table entry is the corresponding percentile.
In a chi-square test of independence, you can find the degrees of freedom by looking at a contingency table (also called a cross-tabulation) of your data. The degrees of freedom is equal to the number of columns listed under 1 of the categorical variables minus 1 multiplied by 1 minus the number of rows listed under your other categorical variable.
This table contains critical values associated with the t distribution, ta, defi ned by the degrees of freedom and a. a.
Degrees of freedom, often represented by v or df, is the number of independent pieces of information used to calculate a statistic. It’s calculated as the sample size minus the number of restrictions. Degrees of freedom are normally reported in brackets beside the test statistic, alongside the results of the statistical test.
Degrees of Freedom Table. You’ll often find degrees of freedom in statistical tables along with their critical values. Statisticians use the DF in these tables to determine whether the test statistic for their hypothesis test falls in the critical region, indicating statistical significance.
The table below can help you find a "p-value" (the top row) when you know the Degrees of Freedom "DF" (the left column) and the "Chi-Square" value (the values in the table). See Chi-Square Test page for more details. Or just use the Chi-Square Calculator.