Answer:
The standard deviation of the sampling distribution of sample means would be of 0.16 years.
Explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
In this problem, we have that:
![\sigma = 1, n = 40](https://img.qammunity.org/2021/formulas/mathematics/college/4h5456etthmcok4f25fvtwmmpjobk01gnp.png)
So
![s = (\sigma)/(√(n)) = (1)/(√(40)) = 0.16](https://img.qammunity.org/2021/formulas/mathematics/college/ws4pkoned5iezdwpkluowdk010m6i12slu.png)
The standard deviation of the sampling distribution of sample means would be of 0.16 years.