Answer: 0.8413
Explanation:
Explanation:
Let x be a random variable that represents the life span of monitors manufactured by TSI Electronics .
Also Monitors manufactured by TSI Electronics have life spans that have a normal distribution with
hours
hours
∵
![z=(x-\mu)/(\sigma)](https://img.qammunity.org/2020/formulas/mathematics/high-school/10fia1p0qwvlz4zhb867kzy3u7bscognwz.png)
Then for x= 16,800 hours,
The probability that the life span of the monitor will be more than 16,800 hours. :-
![P(x>16800)=P(z>-1)=1-P(z\leq-1)\\\\=1-(1-P(z\leq1)\\\\=P(\leq1)= 0.8413447\approx 0.8413](https://img.qammunity.org/2020/formulas/mathematics/college/wypcg3uw1js46n0pn870g573ti8dlkn2u7.png)
Hence, he probability that the life span of the monitor will be more than 16,800 hours = 0.8413