00:01
For here null hypothesis is there is no association between gender and bmi group and the alternate hypothesis is there is an association between gender and bmi group.
00:58
So under the null hypothesis the test statistics is evaluated as x square where total value of bracket o minus e whole square divided by e where o is said to be the observed frequency and e is said to be the expected frequency.
01:23
Then the observed frequencies given to us are 2, 3, total, f, m, total.
01:44
Values are 65, 79, 173 its total is 370.
01:53
Then 25, 54, 103 total is 182.
02:00
Now total values are 90, 133, 276 and 499.
02:09
So now expected frequencies then are 1, 2, 3, total, f, m, total.
02:34
So 90 multiplied by 317 divided by 499 we get the value as 57 .17435.
02:49
Then we have 90 multiplied by 182 which is then divided by 499.
02:57
So we get 32 .82565.
03:03
Next total value is 90.
03:07
Then 133 multiplied by 317 which is then divided by 499.
03:14
We get the value as 84 .49098.
03:20
Then we have 133 multiplied by 182 which is then divided by 499...