In: Statistics and Probability
QUESTION 12
Shock Absorbers Question 3
A manufacturer of automobile shock absorbers was interested in
comparing the durability of its shocks with that of the shocks
produced by its biggest competitor. To make the comparison, one of
the manufacturer's and one of the competitor's shock absorbers were
randomly selected and installed on the rear wheels of each of six
cars. After the cars had been driven for 20,000 miles, the strength
of each test shock absorber was measured, coded, and recorded;
results are shown in the table below. Note that the higher the
measurement, the more durable is the shock absorber.
Shock Absorber Strength
Car |
Manufacturer’s |
Competitor’s |
1 |
8.8 |
8.4 |
2 |
10.5 |
10.1 |
3 |
12.5 |
12.0 |
4 |
9.7 |
9.3 |
5 |
9.6 |
9.0 |
6 |
13.2 |
13.0 |
If one wants to demonstrate that the mean strength of the
manufacturer’s brand exceeds that of the competitor’s by at least
0.5 units after 20,000 miles of use, what is the p-value of the
appropriate test of hypotheses?
a. |
0.309 |
|
b. |
0.168 |
|
c. |
0.293 |
|
d. |
0.503 |
|
e. |
0.907 |
SAMPLE 1 | SAMPLE 2 | difference , Di =sample1-sample2 | (Di - Dbar)² |
8.8 | 8.4 | 0.400 | 0.000 |
10.5 | 10.1 | 0.400 | 0.000 |
12.5 | 12 | 0.500 | 0.007 |
9.7 | 9.3 | 0.400 | 0.000 |
9.6 | 9 | 0.600 | 0.034 |
13.2 | 13 | 0.200 | 0.047 |
Ho : µd= 0.5
Ha : µd > 0.5
mean of difference , D̅ =ΣDi / n =
0.4167 0.9167
0.2924
std dev of difference , Sd = √ [ (Di-Dbar)²/(n-1) =
0.1329
std error , SE = Sd / √n = 0.1329 /
√ 6 = 0.0543
t-statistic = (D̅ - µd)/SE = ( 0.416666667
- 0.5 ) / 0.0543
= -1.536
Degree of freedom, DF= n - 1 =
5
p-value = 0.907
[excel function: =t.dist.rt(t-stat,df) ]