Answer:
![\bar X= \mu = 25](https://img.qammunity.org/2021/formulas/mathematics/college/mdfrito65jlovclmxtcpww1k2b65cjh09c.png)
![\sigma_(\bar X)= (7)/(√(15))= 1.807](https://img.qammunity.org/2021/formulas/mathematics/college/8t8d5qdwqxtthp4emnjo1qvcgvmfo581x6.png)
Explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the variable of interest of a population, and for this case we know the following conditions
Where
and
And for this case we select a sample size of n= 15. and we want to know the distribution for the sample mean
. We can assume that the distribution for
is approximately normal and given by:
![\bar X \sim N(\mu, (\sigma)/(√(n)))](https://img.qammunity.org/2021/formulas/mathematics/college/4bvte95qymxyikwf6tc010pimabbzegclr.png)
Asuming that the distribution for X is also approximately normal. So then the parameters are:
![\bar X= \mu = 25](https://img.qammunity.org/2021/formulas/mathematics/college/mdfrito65jlovclmxtcpww1k2b65cjh09c.png)
![\sigma_(\bar X)= (7)/(√(15))= 1.807](https://img.qammunity.org/2021/formulas/mathematics/college/8t8d5qdwqxtthp4emnjo1qvcgvmfo581x6.png)