An apartment complex developer is considering building apartments in College Town, but first wants to do a market study. A sample was selected of monthly rent values ($) for 80 studio apartments in College Town with sample mean of 498.76. (Based on past experience, the developer assumes a known value of s = $65 for the population standard deviation.)
a. Develop a 98% confidence interval for the mean monthly rent for all studio apartments in this city.
b. Suppose the apartment developer wants a 98% confidence interval estimate of the population mean with a margin of error of E = $15. What sample size is needed?

Answer :

Answer:

a. The 98% confidence interval for the mean monthly rent for all studio apartments in this city is between $481.85 and $515.67

b. A sample size of 102 is needed.

Step-by-step explanation:

Question a:

We have that to find our [tex]\alpha[/tex] level, that is the subtraction of 1 by the confidence interval divided by 2. So:

[tex]\alpha = \frac{1 - 0.98}{2} = 0.01[/tex]

Now, we have to find z in the Ztable as such z has a pvalue of [tex]1 - \alpha[/tex].

That is z with a pvalue of [tex]1 - 0.01 = 0.99[/tex], so Z = 2.327.

Now, find the margin of error M as such

[tex]M = z\frac{\sigma}{\sqrt{n}}[/tex]

In which [tex]\sigma[/tex] is the standard deviation of the population and n is the size of the sample.

[tex]M = 2.327\frac{65}{\sqrt{80}} = 16.91[/tex]

The lower end of the interval is the sample mean subtracted by M. So it is 498.76 - 16.91 = $481.85

The upper end of the interval is the sample mean added to M. So it is 498.76 + 16.91 = $515.67

The 98% confidence interval for the mean monthly rent for all studio apartments in this city is between $481.85 and $515.67

Question b:

This is n for which M = 15. So

[tex]M = z\frac{\sigma}{\sqrt{n}}[/tex]

[tex]15 = 2.327\frac{65}{\sqrt{n}}[/tex]

[tex]15\sqrt{n} = 2.327*65[/tex]

[tex]\sqrt{n} = \frac{2.327*65}{15}[/tex]

[tex](\sqrt{n})^2 = (\frac{2.327*65}{15})^2[/tex]

[tex]n = 101.68[/tex]

Rounding up:

A sample size of 102 is needed.

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