Answer:
a) From the empirical rule we know that within 3 deviations from the mean we have 99.7% of the data so then that would be the answer for this case.
b)
![z=(96.97-98.19)/(0.61)=-2](https://img.qammunity.org/2021/formulas/mathematics/college/s8ke2hwqkdgic8qicuf4aat1tt36j3p7om.png)
![z=(99.41-98.19)/(0.61)=2](https://img.qammunity.org/2021/formulas/mathematics/college/xvbyz9njnestcoezonabb1rvjkm1qfrhtl.png)
And within 2 deviations from the mean we have 95% of the values.
Explanation:
For this case we know that the distribution of the temperatures have the following parameters:
![\mu = 98.19, \sigma =0.61](https://img.qammunity.org/2021/formulas/mathematics/college/nchawigqpa4bhhpd4ylpuev4ty7yvv67ak.png)
Part a
From the empirical rule we know that within 3 deviations from the mean we have 99.7% of the data so then that would be the answer for this case.
Part b
We can calculate the number of deviations from the mean with the z score with this formula:
![z=(X -\mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/dndbjzwpptnqx33uwg4kx8udthw1046crp.png)
And using this formula we got:
![z=(96.97-98.19)/(0.61)=-2](https://img.qammunity.org/2021/formulas/mathematics/college/s8ke2hwqkdgic8qicuf4aat1tt36j3p7om.png)
![z=(99.41-98.19)/(0.61)=2](https://img.qammunity.org/2021/formulas/mathematics/college/xvbyz9njnestcoezonabb1rvjkm1qfrhtl.png)
And within 2 deviations from the mean we have 95% of the values.