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)
