DATA: https://www.statcrunch.com/app/?dataurl=http://www.statcrunch.com/books/CQL/dataset/Fuel_Economy.txt&dlim=tab&ft=true

Agency leadership is very interested in trend analysis. Using the 750 randomly selected vehicles as their sample, data was collected to determine which vehicles currently meet or exceed fuel economy standards and which vehicles currently do not meet fuel economy standards. This information is found in the Meet or Not Meet Current Standards column. Agency leadership asks your team to construct a 95% One-Sample proportion confidence interval for the population proportion of all vehicles that meet current fuel economy standards. Assume that all necessary Central Limit Theorem conditions for a One-Proportion confidence interval have been met.

What is the 95% lower limit?

--%

(Round to two decimal places as needed.)

What is the 95% upper limit?

--%

(Round to two decimal places as needed.)

Using the 95% confidence interval, would it be plausible to conclude that the population proportion of vehicles that currently meet fuel economy standards is 90%?

A.

No, since 90% lies within the constructed confidence interval.

B.

Yes, since 90% lies outside the constructed confidence interval.

C.

Yes, since 90% lies within the constructed confidence interval.

D.

No, since 90% lies outside the constructed confidence interval.