00:01
Hello everyone, let us look into the question.
00:03
Here we have four parts.
00:05
We will answer one by one.
00:06
So, first one total degrees of freedom is 17, treatment degrees of freedom 2.
00:15
Therefore, the error in degrees of freedom equal to 17 minus 2 which is 15.
00:21
Then treatment mean sum of squares equal to 30 .899.
00:28
Then sum of squares is 30 .899 multiplied by 2 which is equal to 61 .798 because we know that mean sum of squares equal to sum of squares divided by degrees of freedom.
00:44
From this we can have error equal to error sum of squares equal to total sum of squares minus treatment sum of squares.
00:53
So, which is equal to 121 .78 minus 61 .798 which is equal to 59 .982.
01:04
Now, from this we can have the error mean sum of squares equal to error sum of squares.
01:13
So, 59 .782 divided by the degrees of freedom.
01:18
So, which is 3 .9988.
01:22
Now, f statistic equal to treatment mean sum of squares divided by error mean sum of squares which is 30 .899 divided by 3 .9988 which is 7 .7271.
01:46
From this we can have the anova table as source, degrees of freedom, sum of squares, mean sum of squares f value and here we can have treatment, error, total...