Step 1 :The question is asking for the margin of error and the confidence interval for the average highway fuel economy of a new truck. The margin of error can be calculated using the formula \(E = Z * (\sigma/\sqrt{n})\), where \(Z\) is the Z-score corresponding to the desired confidence level, \(\sigma\) is the standard deviation, and \(n\) is the sample size. The confidence interval can then be calculated as \((\bar{x} - E, \bar{x} + E)\), where \(\bar{x}\) is the sample mean.
Step 2 :Given: Sample size (n) = 109, Sample mean (\(\bar{x}\)) = 28.7 miles per gallon, Standard deviation (\(\sigma\)) = 2.8 miles per gallon, Confidence level = 98%
Step 3 :We need to find the Z-score corresponding to a 98% confidence level. This can be found using a Z-table or a statistical calculator. The Z-score for a 98% confidence level is approximately 2.33.
Step 4 :Let's calculate the margin of error and the confidence interval.
Step 5 :n = 109, \(\bar{x}\) = 28.7, \(\sigma\) = 2.8, Z = 2.33
Step 6 :Calculate the margin of error: \(E = Z * (\sigma/\sqrt{n}) = 2.33 * (2.8/\sqrt{109}) = 0.62\) (rounded to two decimal places)
Step 7 :Calculate the confidence interval: \((\bar{x} - E, \bar{x} + E) = (28.7 - 0.62, 28.7 + 0.62) = (28.08, 29.32)\) (rounded to two decimal places)
Step 8 :Final Answer: The margin of error is \(E = \boxed{0.62}\) (rounded to two decimal places). The 98% confidence interval is given by \((\boxed{28.08}, \boxed{29.32})\) (rounded to two decimal places).