The degrees of freedom (df): For a chi-square test of independence, the df is (number of variable 1 groups − 1) * (number of variable 2 groups − 1).
Under the null speculation and sure conditions (mentioned below), the check statistic follows a Chi-Square distribution with stages of freedom identical to ( r − 1 ) ( c − 1 ) , wherein is the quantity of rows and is the quantity of columns.
The quantity of levels of freedom in a chi-rectangular goodness-of-healthy check is the quantity of classes minus the quantity of parameters anticipated. The quantity of levels of freedom in a chi-rectangular goodness-of-healthy check is the quantity of classes minus the quantity of parameters anticipated minus one.
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Complete question:
what degrees of freedom should be used to conduct a chi-squared test of independence using this table?
