00:02
Hello everyone, the null hypothesis is h0.
00:07
The variances are equal.
00:14
The variances are equal.
00:18
Again as the alternative hypothesis, h1 is the variances are not equal.
00:31
The variances are not equal.
00:35
We use the formula f is equal to s1 square divided by s2 square.
00:41
In this case, s1 square value is 2 and s2 square value is 2 .497.
00:52
So, let's calculate the test statistic.
00:55
F is equal to 2 divided by 2 .497 that is 0 .8014.
01:05
Next, we need to compare the f statistic which is the critical value.
01:09
The f critical value is 2 .488.
01:20
Since the calculated f test statistic 0 .8014 is less than the critical value 2 .488, we fail to reject h0.
01:41
And now, based on the second assumption, now based on the assumptions of equal variance, the null hypothesis h0 is mu1 greater than mu2 and the alternative hypothesis h1 is mu1 minus mu2...