00:01
Hello everyone, let us look into the solution.
00:04
Here we are given with the data that is participated in sports, that is the first column.
00:16
The column is divided into two categories, yes, no and the total.
00:22
So here we are considering as older brothers.
00:29
So whether it is older brother, yes, no and the total.
00:33
The data given are 10, 15, 25, 10, 25, 35, 20, 40, 60.
00:45
So now the null hypothesis h0 here we can fix it as the two attributes of classification are independent and alternate hypothesis is the two attributes of classification are not independent or we can say these two are dependent.
01:25
So now we have to find the independence of attributes using chi -square test.
01:31
So here we can form a table.
01:34
So the number of observations n equal to 60 and we are given the observed frequency and from this we can calculate the expected frequencies.
01:43
So the observed frequencies are 10, 10, 15, 25.
01:51
So we are taking row wise and the expected frequencies are 8 .3333, 11 .6667, 16 .6667 and 23 .3333...