Two major automobile manufacturers have produced compact cars
with the same size engines. We are interested in determining
whether or not there is a significant difference in the MPG (miles
per gallon) of the two brands of automobiles. A random sample of
eight cars from each manufacturer is selected, and eight drivers
are selected to drive each automobile for a specified distance. The
following data show the results of the test.
Driver |
Manufacturer A |
Manufacturer B |
1 |
32 |
28 |
2 |
27 |
22 |
3 |
26 |
27 |
4 |
26 |
24 |
5 |
25 |
24 |
6 |
29 |
25 |
7 |
31 |
28 |
8 |
25 |
27 |
The test statistic is
Select one:
A. 1.688
B. -2.057
C. 2.096
D. 2.256
we use Excel
this is paired t-test
data-> data analysis
t-Test: Paired Two Sample for Means | ||
Manufacturer A | Manufacturer B | |
Mean | 27.625 | 25.625 |
Variance | 7.410714286 | 4.839285714 |
Observations | 8 | 8 |
Pearson Correlation | 0.497975272 | |
Hypothesized Mean Difference | 0 | |
df | 7 | |
t Stat | 2.256304299 | |
P(T<=t) one-tail | 0.029325097 | |
t Critical one-tail | 1.894578605 | |
P(T<=t) two-tail | 0.058650195 | |
t Critical two-tail | 2.364624252 |
TS = 2.256304299
option D) 2.256 is correct
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