Chi Square Test Of Independence Formula. This lesson provides formulas and. The chi square distribution is one of the most important distributions in statistics together with the normal distribution and the f distribution.
If the p value that corresponds to the test statistic x2 with rows 1 columns 1 degrees of freedom is less than your chosen significance level then you can reject the null hypothesis. Two times the number of degrees of freedom is equal to the variance. We use the following formula to calculate the chi square test statistic x2.
Two times the number of degrees of freedom is equal to the variance.
A chi square test of independence can be used to calculate and analyze data for differences between observed and expected measurements of categorical data. Two times the number of degrees of freedom is equal to the variance. We use the following formula to calculate the chi square test statistic x2. The chi square distribution curve approaches the normal distribution when the degree of freedom increases.
