The mean height is given as 64.1 . We want to obtain the probability that he mean height for the sample is greater than 65 inches if the standard deviation is 2.52.
To proceed we, find the z-score of 65 in the distribution, we make use of the formula;
![z=\frac{x-\mu}{(\frac{\sigma}{\sqrt[]{n}})}](https://img.qammunity.org/2023/formulas/mathematics/college/nq6lihhid58xbjwu3g7upexrvujid28ylb.png)
x = 65, mu = population mean = 64.1, sigma = standard deviation = 2.52, n = sample size = 70.
inserting these values, we have;
![\begin{gathered} z=\frac{65-64.1}{\frac{2.52}{\sqrt[]{70}}} \\ z=0.043 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/rc6menbnirns0hjixljlppysxj4hqlpeiz.png)
The problem now boils down to finding the probability of the z-score greater than 0.043
From z-score tables. the probability of the z-score greater than 0.043;

Therefore, the probability that the mean height for the sample is greater than 65 inches is 0.48285