For a sample of nine automobiles, the mileage (in 1000s of miles) at which the original front brake pads were worn to 10% of their original thickness was measured, as was the mileage at which the original rear brake pads were worn to 10% of their original thickness. The results are given in the following table.
Automobile |
Front |
Rear |
1 |
32.8 |
40.9 |
2 |
26.6 |
35.2 |
3 |
35.6 |
46.1 |
4 |
36.4 |
46 |
5 |
29.2 |
39.9 |
6 |
40.9 |
51.7 |
7 |
40.9 |
51.6 |
8 |
34.8 |
46.1 |
9 |
36.6 |
47.3 |
Let μXμX represent the population mean for rear brake pads and let μYμY represent the population mean for front brake pads. Find a 95% confidence interval for the difference μD=μX−μYμD=μX−μY. Round the answers to three decimal places.
The 95% confidence interval for the difference in mean is: (___, ___)
Automobile | Front | Rear | Difference |
1 | 32.8 | 40.9 | -8.1 |
2 | 26.6 | 35.2 | -8.6 |
3 | 35.6 | 46.1 | -10.5 |
4 | 36.4 | 46 | -9.6 |
5 | 29.2 | 39.9 | -10.7 |
6 | 40.9 | 51.7 | -10.8 |
7 | 40.9 | 51.6 | -10.7 |
8 | 34.8 | 46.1 | -11.3 |
9 | 36.6 | 47.3 | -10.7 |
Total | -91 |
Sample size = n = 9
Sample mean = = - 10.1111
Standard deviation = Sd = 1.0994
Level of confidence interval is
Degrees of freedom = n - 1 = 9 - 1 = 8
tc = 2.306 ( Using t table)
The 95% confidence interval for the difference in mean is:( - 10.956 , - 9.266)
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