Answer:
![\bar X \sim N(\mu, (\sigma)/(√(n)))](https://img.qammunity.org/2021/formulas/mathematics/college/4bvte95qymxyikwf6tc010pimabbzegclr.png)
We know that from the empirical rule we know that within two deviations from the mean we have 95% of the values and if we find the limits we got:
![35 -2 (6)/(√(36))= 33](https://img.qammunity.org/2021/formulas/mathematics/college/41pg2er850phmqjxtwni83c7mxdzvw6y54.png)
![35 +2 (6)/(√(36))= 37](https://img.qammunity.org/2021/formulas/mathematics/college/fehuae6li37pndyo36ofovetxytpuca35q.png)
Explanation:
For this case we have the following info given:
the sample mean
the sample deviation
represent the sample mean
Since the sample size is higher than 30 we can use the normla approximation and we have this:
![\bar X \sim N(\mu, (\sigma)/(√(n)))](https://img.qammunity.org/2021/formulas/mathematics/college/4bvte95qymxyikwf6tc010pimabbzegclr.png)
We know that from the empirical rule we know that within two deviations from the mean we have 95% of the values and if we find the limits we got:
![35 -2 (6)/(√(36))= 33](https://img.qammunity.org/2021/formulas/mathematics/college/41pg2er850phmqjxtwni83c7mxdzvw6y54.png)
![35 +2 (6)/(√(36))= 37](https://img.qammunity.org/2021/formulas/mathematics/college/fehuae6li37pndyo36ofovetxytpuca35q.png)