00:01
Here we'll be conducting chi -square test of independence.
00:04
The null hypothesis is usage level and political view are independent.
00:23
Alternative will be usage level and political view are dependent.
00:32
Option b is the right choice.
00:38
In general, the expected count is calculated as row total into column total divided by grand total.
00:53
Now the expected count for the students who never use morjuna with conservative is calculated as e11 is 53 into 93 divided by grand total which is equal to 27 .38.
01:19
The chi -square which is contributed to the same is calculated as observed minus expected frequency divided by the observed frequency is 29 minus 27 .38 the whole square divided by 27 .38 which is equal to 1 .746.
01:46
Similarly, the expected count and the chi -square contributed value is calculated for all the observed frequencies.
01:57
I have shown the calculations in the table.
02:01
Therefore, test statistics value chi -square is summation o minus e the whole square divided by e.
02:11
From the table we have for here the value is 0 .1.
02:20
The summation value is 1 .746...