Answer:
The 90% confidence interval for the proportion of college students who drive sticks is (0.173, 0.293).
Explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.

In which
z is the zscore that has a pvalue of
.
A random sample of college students who owned cars revealed the following: out of 133 cars, 31 had stick shifts.
This means that

90% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
The lower limit of this interval is:

The upper limit of this interval is:

The 90% confidence interval for the proportion of college students who drive sticks is (0.173, 0.293).