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A survey of 1295 student loan borrowers found that 460 had loans totaling more than $20,000 for their undergraduate education. Give a 98% confidence interval for the proportion of all student loan borrowers who have loans of $20,000 or more for their undergraduate education. (Give answers accurate to 3 decimal places.)

User Pvorb
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1 Answer

4 votes

Answer:

The 98% confidence interval for the proportion of all student loan borrowers who have loans of $20,000 or more for their undergraduate education is (0.324, 0.386)

Explanation:

In a sample with a number n of people surveyed with a probability of a success of
\pi, and a confidence level of
1-\alpha, we have the following confidence interval of proportions.


\pi \pm z\sqrt{(\pi(1-\pi))/(n)}

In which

z is the zscore that has a pvalue of
1 - (\alpha)/(2).

For this problem, we have that:


n = 1295, \pi = (460)/(1295) = 0.355

98% confidence level

So
\alpha = 0.02, z is the value of Z that has a pvalue of
1 - (0.02)/(2) = 0.99, so
Z = 2.327.

The lower limit of this interval is:


\pi - z\sqrt{(\pi(1-\pi))/(n)} = 0.355 - 2.327\sqrt{(0.355*0.645)/(1295)} = 0.324

The upper limit of this interval is:


\pi + z\sqrt{(\pi(1-\pi))/(n)} = 0.355 + 2.327\sqrt{(0.355*0.645)/(1295)} = 0.386

The 98% confidence interval for the proportion of all student loan borrowers who have loans of $20,000 or more for their undergraduate education is (0.324, 0.386)

User Asela
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