00:01
There is given a normal distribution here and the mean and the standard deviation was given.
00:05
So the mean, which is denoted by new, which is 80 and the standard deviation, denoted by sigma, that was given as 52 here.
00:15
So i can define the random variable x, which is normally distributed, 80 and 52.
00:21
But there is a random sample size here.
00:24
So the n was given, which is 64.
00:27
So what we have to do, describe the x distribution of the mean and standard division of the distribution.
00:34
So the mean of the distribution here, which is for the sample, the distribution should be normal because the n is equal to 64, which is greater than 30.
00:45
We can say this is approximately normal.
00:50
And the sample mean, so the sample mean, which is equal to the population mean, which is 80, and the sample standard deviation.
01:00
So the sample standard deviation, which is equal to population, standard division divided by square root of the sample size, which is n here.
01:08
So let me just note the sample standard division as sigma x, which is 52 divided by square root of 64, which is equal to 52 over 8.
01:20
That would be, this is 52 divided by 8, which is equal to 6 .5.
01:25
So i can define the random variable x bar, which is normally distributed.
01:29
So the mean is 80 for the sample and the standard division is 6 .5 here.
01:35
And what about the z value here? so the z value for x is equal to and the corresponding x value.
01:46
So the x is equal to 86 .5 and the z score, which is equal to x minus mu over standard division.
01:53
So the z score for 86 .5 minus the mean is 80 and the standard division, which is 52.
02:00
That would be this is 6 .5 divided by 52 which is equal as 0 .125.
02:08
This is 0 .125 is the z score for 86 .5 and we have to get the probability of random variable x, which is less than.
02:17
This is 86 .5, which is equal to the z is less than 0 .125...