Chisquare tests are great to show if distributions differ or

Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?

Solution

Chi square is used to compare the expected result to observed result. Here data for observed frequencies should be random and it should be a random sample from the large population of indepedent variables. For example: Tossing a coin 1000 times. Observed frequency of head may be 650 while expected is 500. Or in a candy packet there are 50 candies of 2 colors. Both colors are equally likely. So expected frquencies are 25 and 25. While observed frequencies can be 30 and 20. In the Chi-square, the null hypothesis is that the expected is equal to observed frequncies.