Answer:
34%
Explanation:
The body temperatures of adults have a mean of 98.6° F and a standard deviation of 0.60° F.
We want to find the probability that the mean body temperature of 36 randomly selected adults is greater than 98.5° F.
The mean of the sampling distribution of the sample means is the same as the population mean,
![\mu = 98.6 \degree](https://img.qammunity.org/2021/formulas/mathematics/high-school/iwybv8xdhpbo2jp6hwaevb2sbw2aj83rq7.png)
The standard error of the mean becomes the standard deviation of the sampling distribution of the means.
![SE= ( \sigma)/( √(n) )](https://img.qammunity.org/2021/formulas/mathematics/middle-school/c82n3onavytdz989xnffnd81md6w8pgqlz.png)
![SE= (0.6)/( √(36) ) = 0.1](https://img.qammunity.org/2021/formulas/mathematics/high-school/nlh8wmwt8f0q9ngz4zt9j9p231jwowp3qo.png)
By the Central Limit Theorem, the distribution of mean of means is approximately normal
The z-score of 98.5° F
![z= (98.5 - 98.6)/(0.1) = - 1](https://img.qammunity.org/2021/formulas/mathematics/high-school/j1kkxk43c44jaoxksua7kzuude113w0at9.png)
By the empirical rule 68% of the distribution is within one standard deviation (-1 to 1).
Therefore from (-1 to 0), it will be approximately 34%