Answer:
When the sample size is increased from n = 9 to n = 45, the standard deviation of the sample mean decreases from 1.167 to 0.522.
Explanation:
The Central Limit Theorem estabilishes that, for a random variable X, with mean
and standard deviation
, the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
![s = (\sigma)/(√(n))](https://img.qammunity.org/2021/formulas/mathematics/college/tqgdkkovwzq5bzn3f9492laup3ofuhe2qd.png)
In this problem, we have that:
![\sigma = 3.5](https://img.qammunity.org/2021/formulas/mathematics/college/uhkmdv6bx4w0mbucvd4wdawwx2kru0e6vi.png)
n = 9
![s = (3.5)/(√(9)) = 1.167](https://img.qammunity.org/2021/formulas/mathematics/college/wmrofweyj6htgo6an3gg9tvbo6i1lalvnp.png)
n = 45
![s = (3.5)/(√(45)) = 0.522](https://img.qammunity.org/2021/formulas/mathematics/college/ey4fy4ms6hwsrbltv6q4xt6je02ixfe487.png)
When the sample size is increased from n = 9 to n = 45, the standard deviation of the sample mean decreases from 1.167 to 0.522.