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.)

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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)

Step-by-step explanation:

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

[tex]\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]

In which

z is the zscore that has a pvalue of [tex]1 - \frac{\alpha}{2}[/tex].

For this problem, we have that:

[tex]n = 1295, \pi = \frac{460}{1295} = 0.355[/tex]

98% confidence level

So [tex]\alpha = 0.02[/tex], z is the value of Z that has a pvalue of [tex]1 - \frac{0.02}{2} = 0.99[/tex], so [tex]Z = 2.327[/tex].

The lower limit of this interval is:

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

The upper limit of this interval is:

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

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)