Step 1 :The problem is asking for a confidence interval for a population proportion. The formula for a confidence interval for a population proportion is given by: \(\hat{p} \pm Z \sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\) where \(\hat{p}\) is the sample proportion, \(Z\) is the Z-score corresponding to the desired level of confidence, and \(n\) is the sample size.
Step 2 :In this case, \(\hat{p}\) is the proportion of new car buyers who prefer foreign cars over domestic cars in the sample, which is \(\frac{270}{675}\), \(Z\) is the Z-score corresponding to a $90\%$ confidence level, and \(n\) is the sample size, which is $675$.
Step 3 :The Z-score for a $90\%$ confidence level is approximately $1.645$ (you can find this value in a standard normal distribution table).
Step 4 :We can plug these values into the formula to find the confidence interval. After running the calculations, we find the lower and upper bounds of the confidence interval to be approximately $0.369$ and $0.431$ respectively.
Step 5 :Final Answer: The $90\%$ confidence interval for the population proportion of new car buyers who prefer foreign cars over domestic cars is \(\boxed{[0.369, 0.431]}\).