00:02
So, we are given that a 2 by a 2 contingency table by considering the sample's medians of two variables as the criteria of different.
00:22
So, we have to do the hypothesis test here.
00:25
So let's suppose this is nothing but what the table generated by using the excel in which you can see that this is what overall rate less than or equals to 75 greater than the 75 participant qz is score less than or equals to 88 greater than 28 all the data we have just written in this table and its grand total is 37.
00:51
So, now what would be the null hypothesis? so we say the null hypothesis will be the overall grade and participation qz scores are independent while the alternative hypothesis will be the overall grade and participation qz scores are not independent.
01:22
This hypothesis states we have to do at significance level of alpha 0 .05.
01:30
So under the null hyper what will be the expected count for cell i comma j.
01:42
So basically this should be equals to we have to apply the formula of expected value.
01:48
Rho sum of i into column sum of j divided by the grand total that is 37 so expected frequency matrix will be generated expected frequency matrix and and it will be something like that 1, 2, 1, 2, 10 .81, 9 .19, 9 .19, 7 .81.
02:28
So basically we had to perform the g -square test...