In: Statistics and Probability
Suppose Diane and JackJack are each attempting to use a simulation to describe the sampling distribution from a population that is skewed right with mean 7070 and standard deviation 1010. Diane obtains 1000 random samples of size nequals=44 from the population, finds the mean of the means, and determines the standard deviation of the means. JackJack does the same simulation but obtains 1000 random samples of size nequals=3030 from the population
According to central limit theorem, if sample size n is large (n > 30) then we can say that the sampling distribution of sample mean is approximately normally distributed with mean and standard deviation
Here n = 44 > 30
So we can say that sampling distribution of sample mean is
approximately normally distributed with
Mean of sample mean =
Standard deviation of sample mean
= 152.2632
Mean of sample mean = 7070
Standard deviation of sample mean = 152.2632
If n = 3030 then
Mean of sample mean =
Standard deviation of sample mean
= 18.3485 (Round to 4 decimal)
Mean of sample mean = 7070
Standard deviation of sample mean = 18.3485