Answer:
The standard deviation of the sampling distribution of sample means would be 0.8186.
Explanation:
We are given that
Mean of population=23.2 pounds
Standard deviation of population=6.6 pounds
n=65
We have to find the standard deviation of the sampling distribution of sample means.
We know that standard deviation of the sampling distribution of sample means
=
![(\sigma)/(√(n))](https://img.qammunity.org/2022/formulas/mathematics/college/kpi0ig2wvzfbiomr1fb23i8syz388t90p2.png)
Using the formula
The standard deviation of the sampling distribution of sample means
=
![(6.6)/(√(65))](https://img.qammunity.org/2022/formulas/mathematics/college/37ig1b8zndhi9yfrublojmxfl73onaiy6w.png)
![=0.8186](https://img.qammunity.org/2022/formulas/mathematics/college/rmn4kvrxknon73sjmisr4s2gn6dukhgish.png)
Hence, the standard deviation of the sampling distribution of sample means would be 0.8186.