In: Statistics and Probability
A sample of 10 diesel trucks were run both hot and cold to estimate the difference in fuel economy. The results, in mpg, are presented in the following table.
Truck |
Hot |
Cold |
1 |
4.56 |
4.26 |
2 |
4.46 |
4.08 |
3 |
6.49 |
5.83 |
4 |
5.37 |
4.96 |
5 |
6.25 |
5.87 |
6 |
5.90 |
5.32 |
7 |
4.12 |
3.92 |
8 |
3.85 |
3.69 |
9 |
4.15 |
3.74 |
10 |
4.69 |
4.19 |
Let μXμX represent the population mean for hot engines and let μYμY represent the population mean for cold engines. Find a 98% confidence interval for the difference μD=μX−μYμD=μX−μY. Round the answers to three decimal places.
Using Excel we get, sample mean and sample standard deviation of the difference between Hot engines and Cold engines are,
sample mean = 0.3980 and
sample standard deviation (Sd) = 0.1558
Degrees of freedom = 10 - 1 = 9
Using t-table we get, t-critical value at significance level of 0.02 with 9 degrees of freedom is,
The 98% confidence interval for the difference μD = μX - μY is,
Therefore, required confidence interval is (0.259, 0.537)