00:01
So, in the given question, we are going to conduct a hypothesis test.
00:06
So here, we have a null hypothesis that the two population averages are equal, while the alternative will be that the two population averages are different.
00:17
So we have a two tailed hypothesis test.
00:21
Now in this case, so what information we have to compute first before computing the test statistic value is, so basically the sizes of the sample here, that is the two sample sizes, it is equal to 10.
00:43
Now we have computed the means for the two samples and it is equal to the mean for the first is 4 .7 and the mean for the second group, it is equal to 7 .4.
00:58
So, here we have the standard deviation for the first is 1 .77 and for the second group, it is 2 .12.
01:07
Now first we need to compute the test statistic value.
01:12
So our test statistic value here, this will be equal to the difference between the two sample means divided by standard error.
01:22
So this is n1 minus 1 into the variance of the first plus n1 minus 1 into the variance of the second upon n1 plus n2 minus 2 into 1 upon n1 plus 1 upon n2.
01:36
So that is the standard error.
01:38
So this will be equal to 7 .4 minus 4 .7, sorry, this will be 4 .7 minus 7 .4 divided by square root of 10 minus 1 into 1 .77 square plus 10 minus 1 into 2 .12 square divided by 10 plus 10 minus 2 into 1 upon 10 plus 1 upon 10.
02:08
So this is equal to minus 3 .09.
02:12
Now the decision rule here, the first of all the degrees of freedom, this is n1 plus n2 minus 2 that is equal to 18.
02:22
The value alpha here is 0 .05...