Answer:
a. The mean is 4.5 and the standard deviation is 0.3818.
b. 4.5
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
Mean of 4.5 and a standard deviation of 2.291.
This means that [tex]\mu = 4.5, \sigma = 2.291[/tex]
a. Find the mean and the standard deviation of the resulting distribution of sample means for n=36.
By the Central Limit Theorem, the mean is 4.5 and the standard deviation is [tex]s = \frac{2.291}{\sqrt{36}} = 0.3818[/tex]
The mean is 4.5 and the standard deviation is 0.3818.
b. The mean of the resulting distribution of the sample means is:________
By the Central Limit Theorem, 4.5.