Chi Square Test Of Independence Test Statistic. X 2 σ o e 2 e. The chi square distribution is one of the most important distributions in statistics together with the normal distribution and the f distribution.
The chi square distribution is one of the most important distributions in statistics together with the normal distribution and the f distribution. If the expected and observed values are not close together then the test statistic is very large and way out in the right tail of the chi square curve as it is in a goodness of fit. Leave blank the last rows and columns that don t have data values.
In other words this test is used to determine whether the values of one of the 2 qualitative variables depend on the values of the other qualitative variable.
They are associated we use the following formula to calculate the chi square test statistic x 2. χ 2 i j 1 n o i j e i j 2 e i j. In other words this test is used to determine whether the values of one of the 2 qualitative variables depend on the values of the other qualitative variable. Chi square tests of independence test whether two qualitative variables are independent that is whether there exists a relationship between two categorical variables.
