00:01
Hi, i'm david and i'm here to have the answer your question.
00:03
Now let me bring up your question here.
00:06
In the question here, we are going to discuss about the hypothesis testing.
00:11
Here i want to know if is there a reason to believe that the average weight on the baby's adverse is not the 3 .4 kilograms.
00:19
It means that we will have the known hypothesis, the mean it will equal to the 3 .4 versus the alternative hypothesis that the mean will be equal to the 3 .4 versus the alternative hypothesis that the mean will be would be not equal to the 3 .4.
00:32
Here we are given in this question then the sample n equal to the 30 the x -par equal to the 3 .1 and the population standard division equal to the 11.
00:46
I think this one should be the 1 .1 because 11 does make sense here so it will be the 1 .1 kilograms.
00:53
Now the first thing we need to do we have to compute the test statistics and it will denote the z.
00:59
The formula is it will be the x -par we minus the mean over the sigma dependent by square of n.
01:05
So we have the 3 .1 minus 3 .4 over the 1 .1 dependent square root 30.
01:12
So we get equal to 3 .1 minus 3 .4 defined by 1 .1 times square root 10 .30...