Chi square analysis is used in statistics when comparing multiple variables. It consists of testing the observed frequency values of the data against predicted values. Predicted values are calculated based on the assumption that when there is no association between the variables, the differences that you see in the frequencies are completely due to chance.

Chi square analysis is a common test used to look for associations between two variables. It is a good initial procedure to establish in which direction the rest of the analysis must proceed.

Contact Statistical Consulting Network for help performing your Chi square analysis.