Answer:
![P(\bar X >1.7) = P(Z> (1.7-1.5)/(0.18)) = P(Z>1.11) = 1-P(Z<1.11) =0.1335](https://img.qammunity.org/2021/formulas/mathematics/college/tkdr6wmgrf8rhs7pouv213l2807ksl3h5n.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 song duration of a population, and for this case we know the distribution for X is given by:
Where
and
Since the distribution for X is normal then we have that the distribution for the sample mean
is given by:
We select a sample size of n =25 so then the deviation for the sample mean is given by:
![\sigma_(\bar X)= (0.9)/(√(25))= 0.18](https://img.qammunity.org/2021/formulas/mathematics/college/4p56i8pl6g4pqsif3xr8tm1kkll9jz2chd.png)
And we can use the z score formula given by:
![z= (\bar X -\mu)/(\sigma_(\bar X))](https://img.qammunity.org/2021/formulas/mathematics/college/v4nsjvfx50vrd8fkduybke1jf2a6oxp6lp.png)
We want to find this probability:
And using the z score ,the complement rule and the normal standard distribution table or excel we got:
![P(\bar X >1.7) = P(Z> (1.7-1.5)/(0.18)) = P(Z>1.11) = 1-P(Z<1.11) =0.1335](https://img.qammunity.org/2021/formulas/mathematics/college/tkdr6wmgrf8rhs7pouv213l2807ksl3h5n.png)