00:01
All right, so we have a study which was reported in the journal of small business management, which concluded that self -employed individuals do not experience higher job satisfaction individuals who are not self -employed.
00:14
In this study, job satisfaction is measured using a leichert -type scale.
00:20
And the main thing for us to consider, well, it isn't good to know the scale.
00:25
So it ranges from the total score that each person gives is between 8 to each.
00:32
And so what we want to do is look at whether or not these samples of 10 individuals from each profession, lawyer, physical therapist, cabin maker, systems analyst.
00:48
If there's any significant difference in their job satisfaction among these four professions.
00:55
So we're going to do a little look for the difference of the means.
01:00
Is there a difference? and we're going to use it in a nova, a single factor anova.
01:06
And so this is just a little summary of the information.
01:10
We have 10 samples in each group, the sums, the means, the variances.
01:16
So we're testing if there's something different here.
01:23
So what we do is we look at the very, you know, we look at these sums of squares between groups, within groups.
01:30
And we're looking as there, and this tells us if there's sums.
01:33
Difference.
01:34
And we get our f score and we have the p value.
01:40
There's a critical value which we compare the f2.
01:42
The f is bigger than the critical value.
01:44
So we do that's significant and we also have this p value.
01:49
So let's interpret this.
01:51
That's the important thing.
01:52
The computers do the calculations but us as humans interpret it.
01:56
So the null hypothesis is that the satisfaction is the same.
02:03
So mean of the lawyer is equal to the mean satisfaction of the fiscal therapist is equal to the mean of the cabinet maker is equal to the mean of the systems analyst...