A number of minor automobile accidents occur at various high-risk intersections despite traffic lights. The traffic department claims that a modification in the type of light will reduce these accidents. The traffic commissioners have agreed to a proposed experiment. Eight intersections were chosen at random, and the lights at those intersections were modified. The numbers of minor accidents during a six-month period before and after the modifications were as follows:
Number of Accidents | ||||||||
A | B | C | D | E | F | G | H | |
Before modification | 6 | 6 | 8 | 8 | 6 | 8 | 9 | 4 |
After modification | 6 | 7 | 3 | 7 | 2 | 1 | 2 | 8 |
At the 0.1 significance level, is it reasonable to conclude that the modification reduced the number of traffic accidents?
a. State the decision rule. (Negative answer should be indicated by a minus sign. Round the final answer to 3 decimal places.)
Reject H0 if t < .
b. Compute the value of the test statistic. (Negative answer should be indicated by a minus sign. Round the final answer to 3 decimal places.).
The test statistic is .
c. What is your decision regarding the null hypothesis?
Decision: (Click to select) Reject Do not reject H0. There is (Click to select) enough not enough evidence to reject H0. The mean number of accidents (Click to select) has been has not been reduced.
d. What is the p-value? (Round the final answer to 4 decimal places.)
from above:
a)
Decision rule: reject Ho if test statistic t<-1.415 |
b)
test statistic t =-1.680
c)Reject H0. There is enough evidence to reject H0. The mean number of accidents has been reduced
d)
p value =0.0684
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