Answer:
True
Explanation:
Data
mean (
) = 516 hours
standard deviation (
) = 20 hours
expected lifetime (X) = 541.6 hours
In the figure attached, standard normal distribution table can be seen. Z is computed as follows:
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2020/formulas/mathematics/middle-school/ijf8wrxup4oiph7gw8zex0r9316mpsigqy.png)
![Z = (541.6 - 516)/(20)](https://img.qammunity.org/2020/formulas/mathematics/college/9t12o0gajpnlg1wizgjxxaxclbl6j1y2et.png)
![Z = 1.28](https://img.qammunity.org/2020/formulas/mathematics/college/18rhc4hrdftn9o54c36y73yerec5xp6bsx.png)
In table can be seen that the area between 0 and 1.28 is 0.3997, or simply 0.4. The area until Z = 0 is 0.5; so, the total area until Z = 1.28 is 0.9. That means 90% of batteries would have 541.6 lifetime hours.