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A survey asked college freshman how far away from their hometown is from the college campus. A random sample of 3 students is
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(a) The formula for calculating the (1-\alpha)100\% confidence interval for the population mean, \mu is given by: \mathrm{\bar{x}\pm t_{(\frac{\alpha}{2},df=n-1)}\left ( \frac{s}{\sqrt{n}} \right )}

Given: sample size, n=36 ; sample mean, \bar{x}=100\:miles ; sample standard deviation, s=30\:miles

Critical value: For 95% confidence, a = 1-0.95 = 0.05

\mathrm{t_{(\frac{\alpha}{2},df=n-1)}=t_{(\frac{0.05}{2},df=36-1=35)}=2.030108\approx \mathbf{2.0301}}

\mathbf{Lower\:bound}:\:\: \mathrm{\bar{x}- t_{(\frac{\alpha}{2},df=n-1)}\left ( \frac{s}{\sqrt{n}} \right )}=\mathrm{100-2.0301\left(\frac{30}{\sqrt{36}}\right)=89.8495\approx {\color{Blue} 89.8}}

\mathbf{Upper\:bound}:\:\: \mathrm{\bar{x}+ t_{(\frac{\alpha}{2},df=n-1)}\left ( \frac{s}{\sqrt{n}} \right )}=\mathrm{100+2.0301\left(\frac{30}{\sqrt{36}}\right)=110.1505\approx {\color{Blue} 110.2}}

__________________

(b) The formula for calculating the minimum sample size needed to construct 95% confidence interval is given by: n=\left ( \frac{z_{\frac{\alpha}{2}}*s}{E} \right )^{2}

where,

E: margin of error and it is given in the question as E=3\:miles

For 95% confidence, a = 1-0.95 = 0.05 , z_{\frac{0.05}{2}}=\mathbf{1.96}

n=\left ( \frac{z_{\frac{\alpha}{2}}*s}{E} \right )^{2}=\left(\frac{1.96*30}{3}\right)^{2}=384.16\approx \mathbf{385}

So the Mainimum sample size need is {\color{Blue} n=385}

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