You want to rent an unfurnished one-bedroom apartment in Boston next year. The mean monthly rent for a random sample of 12 apartments advertised in the local newspaper is $1500. Assume that the standard deviation is $250. Find a 95% confidence interval for the mean monthly rent for unfurnished one-bedroom apartments available for rent in this community. (Round your answers to two decimal places.)

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Answer:

Step-by-step explanation:

We want to determine a 95% confidence interval for the mean monthly rent for unfurnished one-bedroom apartments available for rent in this community.

Number of sample, n = 12

Mean, u = $1500

Standard deviation, s = $250

For a confidence level of 95%, the corresponding z value is 1.96.

We will apply the formula

Confidence interval

= mean ± z ×standard deviation/√n

It becomes

1500 ± 1.96 × 250/√12

= 1500 ± 1.96 × 72.17

= 1500 ± 141.45

The lower end of the confidence interval is 1500 - 141.45 = 1358.55

The upper end of the confidence interval is 1500 + 141.45 = 1641.45

Therefore, with 95% confidence interval, the mean monthly rent for unfurnished one-bedroom apartments available for rent in this community is between $1358.55 and $1641.45

Answer:

95% confidence interval for the mean monthly rent for unfurnished one-bedroom apartments available for rent in this community is [$1358.55 , $1641.45].

Step-by-step explanation:

We are given that the mean monthly rent for a random sample of 12 apartments advertised in the local newspaper is $1500. Assume that the standard deviation is $250.

Firstly, the pivotal quantity for 95% confidence interval for the mean monthly rent is given by;

     P.Q. = [tex]\frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } }[/tex] ~ N(0,1)

where, [tex]\bar X[/tex] = mean monthly rent for a sample of 12 apartments = $1500

            [tex]\sigma[/tex] = standard deviation = $250

            n = sample of apartments = 12

            [tex]\mu[/tex] = population mean monthly rent

Here for constructing 95% confidence interval we have used z statistics because we know about population standard deviation.

So, 95% confidence interval for the population​ mean, [tex]\mu[/tex] is ;

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5% level of

                                                    significance are -1.96 & 1.96}

P(-1.96 < [tex]\frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } }[/tex] < 1.96) = 0.95

P( [tex]-1.96 \times {\frac{\sigma}{\sqrt{n} } }[/tex] < [tex]{\bar X - \mu}[/tex] < [tex]-1.96 \times {\frac{\sigma}{\sqrt{n} } }[/tex] ) = 0.95

P( [tex]\bar X-1.96 \times {\frac{\sigma}{\sqrt{n} } }[/tex] < [tex]\mu[/tex] < [tex]\bar X+1.96 \times {\frac{\sigma}{\sqrt{n} } }[/tex] ) = 0.95

95% confidence interval for [tex]\mu[/tex] = [ [tex]\bar X-1.96 \times {\frac{\sigma}{\sqrt{n} } }[/tex] , [tex]\bar X+1.96 \times {\frac{\sigma}{\sqrt{n} } }[/tex] ]

                                           = [ [tex]1500-1.96 \times {\frac{250}{\sqrt{12} } }[/tex] , [tex]1500+1.96 \times {\frac{250}{\sqrt{12} } }[/tex] ]

                                           = [1358.55 , 1641.45]

Hence, 95% confidence interval for the true mean monthly rent for unfurnished one-bedroom apartments available for rent in this community is [$1358.55 , $1641.45].