Answer: 0.1788
Step-by-step explanation:
We assume that the monthly rent for a one-bedroom apartment without a doorman in Manhattan is normally distribution.
Given : Mean monthly rent : [tex]\mu=\$\ 2,654[/tex]
Standard deviation : [tex]\sigma=\$\ 500[/tex]
Sample size : [tex]n=100[/tex]
Let x be the monthly rent of randomly selected apartment.
Now. we calculate the value of z-score by the formula :
[tex]z=\dfrac{x-\mu}{\dfrac{\sigma}{\sqrt{n}}}[/tex]
For x = $2,700
[tex]z=\dfrac{2700-2654}{\dfrac{500}{\sqrt{100}}}=0.92[/tex]
The p-value = [tex]P(x>2700)=P(z>0.92)[/tex]
[tex]1-P(z<0.92)=1-0.8212136=0.1787864\approx0.1788[/tex]
Hence, the probability that the average rent of the sample is more than $ 2,700 = 0.1788