Answer:
The probability is 0.953
Step-by-step explanation:
We know that the mean [tex]\mu[/tex] is:
[tex]\mu=10:30\ p.m[/tex]
The standard deviation [tex]\sigma[/tex] is:
[tex]\sigma=0:15\ minutes[/tex]
The Z-score is:
[tex]Z=\frac{x-\mu}{\sigma}[/tex]
We seek to find
[tex]P(10:00\ p.m.<x<11:00\ p.m.)[/tex]
The Z-score is:
[tex]Z=\frac{x-\mu}{\sigma}[/tex]
[tex]Z=\frac{10:00-10:30}{0:15}[/tex]
[tex]Z=\frac{-0:30}{0:15}[/tex]
[tex]Z=-2[/tex]
The score of Z =-2 means that 10:00 p.m. is -2 standard deviations from the mean. Then by the rule of the 8 parts of the normal curve, the area that satisfies the condition of 2 deviations from the mean has percentage of 2.35%
and
[tex]Z=\frac{x-\mu}{\sigma}[/tex]
[tex]Z=\frac{11:00-10:30}{0:15}[/tex]
[tex]Z=\frac{0:30}{0:15}[/tex]
[tex]Z=2[/tex]
The score of Z =2 means that 11:00 p.m. is 2 standard deviations from the mean. Then by the rule of the 8 parts of the normal curve, the area that satisfies the condition of 2 deviations from the mean has percentage of 2.35%
[tex]P(10:00\ p.m.<x<11:00\ p.m.)=100\%-2.35\%-2.35\%[/tex]
[tex]P(10:00\ p.m.<x<11:00\ p.m.)=95.3\%[/tex]
[tex]P(10:00\ p.m.<x<11:00\ p.m.)=0.953[/tex]