Chi Square Test H0. Next we prepare a similar table of calculated or expected values. Since 14 3 is greater than 9 49 we reject h 0.
Next we prepare a similar table of calculated or expected values. This is why it is also known as the goodness of fit test. That means the row and the column variables of the contingency table are independent.
Knowing the value of one variable does not help to predict the value of the other variable.
This is why it is also known as the goodness of fit test. 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. Therefore reject h 0 if. Knowing the value of one variable does not help to predict the value of the other variable.
