In: Statistics and Probability
A special bumper was installed on selected vehicles in a large
fleet. The dollar cost of body repairs was recorded for all
vehicles that were involved in accidents over a 1-year period.
Those with the special bumper are the test group and the other
vehicles are the control group, shown below. Each "repair incident"
is defined as an invoice (which might include more than one
separate type of damage).
Statistic | Test Group | Control Group | ||||||||
Mean Damage | X¯¯¯1X¯1 | = | $ | 1,157 | X¯¯¯2X¯2 | = | $ | 1,775 | ||
Sample Std. Dev. | s1 | = | $ | 662 | s2 | = | $ | 827 | ||
Repair Incidents | n1 | = | 17 | n2 | = | 13 | ||||
Source: Unpublished study by Thomas W. Lauer and Floyd G.
Willoughby.
(a) Construct a 98 percent confidence interval for
the true difference of the means assuming equal variances.
(Round your final answers to 3 decimal
places. Negative values should be indicated by a
minus sign.)
The 98% confidence interval is from ___ to ___
(b) Repeat part (a), using the assumption of
unequal variances with Welch's formula for d.f.
(Round the calculation for Welch's df to the nearest
integer. Round your final answers to 3 decimal places. Negative
values should be indicated by a minus sign.)
The 98% confidence interval is from ___ to ___
(c) Did the assumption about variances change the
conclusion?
Yes
No
(d) Construct separate 98% confidence intervals
for each mean. (Round your intermediate
tcrit value to 3 decimal places. Round your
final answers to 2 decimal places.)
Mean Damage | Confidence Interval |
x1=$1,157 | ($___ , $ ___ ) |
x2=$1,775 | ($ ___ , $ ___ ) |