00:01
Here given n1 it is equal to n1 is equal to 9 children's and n2 is equal to 9 adults, n2 is equal to 9 adults.
00:16
So, x1 it is nothing but the sleep time of x1 it is nothing but 2 .6 hours per night and sigma1 it is nothing but 0 .9 hours.
00:30
Whereas in terms of x2 it is 1 .70 and sigma2 it is nothing but 0 .6 hours.
00:44
So using 1 % level of significance we have to calculate the concept.
00:49
So, 1 % level of significance it is nothing but 0 .01, 0 .01.
00:58
So, here let us consider our null hypothesis h naught to be null hypothesis h naught to be mu1 is equal to mu2 and the alternative hypothesis h alpha or h1 to be mu1 greater than mu2, mu1 greater than mu2.
01:19
So, now based upon the given data that is we have to test if these data indicate that on average children tend to have more rem sleep than adult or not.
01:33
So, this will be the concept.
01:35
For this purpose we are going to use the formula z is equal to x1 bar minus x2 bar divided by square root of sigma1 square divided by n1 plus sigma2 square divided by n2.
01:52
So, here all the values are given already that is x1, x2 that is 2 .6 and 2 .6 minus 1 .7 divided by square root of sigma1 square 0 .9 and sigma2 square 0 .6.
02:10
So, it will be in terms of 0 .9 square divided by 9 n1 plus 0 .6 the whole square divided by 9 which is nothing but n2.
02:22
So, on simplifying this process we will be obtaining the solution to be 1 .19...