In: Statistics and Probability
There are two types of chi-square tests. Both use the chi-square statistic and distribution for different purposes:
The Chi Square statistic is commonly used for testing relationships between categorical variables. The null hypothesis of the Chi-Square test is that no relationship exists on the categorical variables in the population; they are independent and alternative hypothesis is they are dependent.
The chi-square goodness of fit test is appropriate when the following conditions are met: The sampling method is simple random sampling. The variable under study is categorical. The expected value of the number of sample observations in each level of the variable is at least 5.
Definition and charactristics =