Final answer:
To construct a confidence interval for the proportion, we can use the formula: CI = p-hat ± z * sqrt((p-hat * (1 - p-hat)) / n), where p-hat is the observed proportion, z is the z-score corresponding to the desired confidence level, and n is the sample size. Calculating the upper and lower limits of the confidence interval, the 95% confidence interval for the proportion of customers who prefer to purchase domestically made cars is 30.6% to 39.4%. It is not reasonable for the magazine to claim that the proportion is 40%, as this value falls outside the confidence interval.
Step-by-step explanation:
To construct a confidence interval for the proportion, we can use the formula:
CI = p-hat ± z * sqrt((p-hat * (1 - p-hat)) / n)
where p-hat is the observed proportion, z is the z-score corresponding to the desired confidence level, and n is the sample size. In this case, p-hat = 315/900 = 0.35, z = 1.96 for a 95% confidence level, and n = 900. Plugging these values into the formula, we have:
CI = 0.35 ± 1.96 * sqrt((0.35 * (1 - 0.35)) / 900)
Calculating the upper and lower limits of the confidence interval:
Upper limit = 0.35 + 1.96 * sqrt((0.35 * (1 - 0.35)) / 900) = 0.394
Lower limit = 0.35 - 1.96 * sqrt((0.35 * (1 - 0.35)) / 900) = 0.306
Therefore, the 95% confidence interval for the proportion of customers who prefer to purchase domestically made cars is 30.6% to 39.4%. It is not reasonable for the magazine to claim that the proportion is 40%, as this value falls outside the confidence interval.