Contingency Table Chi Square Test. A chi square test of a contingency table helps identify if there are differences between two or more demographics. Below is an example of a cross tab table illustrating how many male and female for different undergraduate degree.
The null hypothesis is that there is no association between the variables. Open the crosstabs dialog analyze descriptive statistics crosstabs. Click one variable in the left window and then click the arrow at the top to move the variable.
Contingency tables crosstabs chi square test introduction this procedure produces tables of counts and percentages for the joint distribution of two categorical variables.
Chi square test of significance chi square test examines whether rows and columns of a contingency table are statistically significantly associated. Consider the following example. This is a easy chi square calculator for a contingency table that has up to five rows and five columns for alternative chi square calculators see the column to your right. That means the row and the column variables of the contingency table are independent.
