Answer: 0.8413
Step-by-step explanation:
Step-by-step 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
[tex]\mu=18000[/tex] hours
[tex]\sigma=1200[/tex] hours
∵ [tex]z=\dfrac{x-\mu}{\sigma}[/tex]
Then for x= Â 16,800 hours,
[tex]z=\dfrac{16800-18000}{1200}=-1[/tex] Â
The probability that the life span of the monitor will be more than 16,800 hours. :-
[tex]P(x>16800)=P(z>-1)=1-P(z\leq-1)\\\\=1-(1-P(z\leq1)\\\\=P(\leq1)= 0.8413447\approx 0.8413[/tex]
Hence, he probability that the life span of the monitor will be more than 16,800 hours = 0.8413