00:01
Hello everyone, so this is the data of a diet center which claims that we would lose more than two pounds per within a month.
00:13
Now there were six clients, the data you can see.
00:16
So part a of the question is that we need to find the null hypothesis and alternative hypothesis of the data.
00:35
That assuming that weight is normally distributed, the weight is normally distributed, we have to calculate the value of the statistic.
00:51
Part see of the question, we need to find the p value of the data.
00:55
So now, if we have this data, let us say that the first day, let us mark this as xi, this as yi.
01:07
So the summation of x i di right so let us make another column say di which would be equal to x i minus y now this is going to be minus eight 20 one this is how many pounds did they lose actually 11 9 in minus 5 now here n could be 6 right these and standard deviation.
01:41
So first of all, let us fix part a, which is null hypothesis and alternative hypothesis.
01:48
So null hypothesis, actually, where mu would be, that is going to equal to two pounds, which is cleaned.
01:55
And in an alternative hypothesis, it would be mu greater than two.
02:00
So this is my null and alternative hypothesis...