Answer: 0.1357
Explanation:
Given : Monitors manufactured by TSI Electronics have life spans that have a normal distribution with a variance of
and a mean life span of
hours.
Here ,
![\sigma=√(2250000)=1500](https://img.qammunity.org/2020/formulas/mathematics/college/laqvg3722mia36swvmihlqnndf05shlbek.png)
Let x represents the life span of a monitor.
Then , the probability that the life span of the monitor will be more than 14,650 hours will be :-
![P(x>14650)=P((x-\mu)/(\sigma)>(14650-13000)/(1500))\\\\=P(z>1.1)=1-P(z\leq1.1)\ \ [\because\ P(Z>z)=1-P(Z\leq z)]\\\\=1-0.8643339=0.1356661\approx0.1357](https://img.qammunity.org/2020/formulas/mathematics/college/66k1k4kcu0xjj6gm8l8eblg7ghnu3glot9.png)
Hence, the probability that the life span of the monitor will be more than 14,650 hours = 0.1357