Answer:
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Explanation:
The confidence interval for a population proportion is calculated using the formula;

In the above expression;
p represents the sample proportion calculated as, number of successes/sample size;
p = 120/319 = 0.3762
z represents the confidence coefficient associated with the given level of significance. In our case the confidence level required is 99%. The z-score associated with this level of significance is +/-2.576
n represents the sample size under evaluation, 319 college students.
Using the values obtained above, the 99% confidence interval for the true proportion of all college students who own a car is;


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