Chi Squared Test Statistic. A chi squared test also written as χ 2 test is a statistical hypothesis test that is valid to perform when the test statistic is chi squared distributed under the null hypothesis specifically pearson s chi squared test and variants thereof. It is the most widely used of many chi squared tests e g yates likelihood ratio portmanteau test in time series etc statistical procedures whose results are evaluated by reference to the chi squared distribution.
It is the most widely used of many chi squared tests e g yates likelihood ratio portmanteau test in time series etc statistical procedures whose results are evaluated by reference to the chi squared distribution. The first stage is to enter group and category names in the textboxes below this calculator allows up to five groups and categories but fewer is fine. The chi square test is used to check how well the observed values for a given distribution fits with the distribution when the variables are independent.
A chi square χ2 statistic is a test that measures how a model compares to actual observed data.
Thus chi square is a measure of actual divergence of the observed and expected frequencies. Pearson s chi squared test is used to determine whether there is a statistically significant difference between the expected frequencies and the. By default all χ tests are two sided. This is why it is also known as the goodness of fit test.
