Test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, and then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. Among 2140 passenger cars in a particular region,246 had only rear license plates. Among 315 commercial trucks,45 had only rear license plates. A reasonable hypothesis is that commercial trucks owners violate laws requiring front license plates at a higher rate than owners of passenger cars. Use a 0.05 significance level to test that hypothesis.
a. Test the claim using a hypothesis test.
b. Test the claim by constructing an appropriate confidence interval.
Ans:
a)
sample proportion for cars=246/2140=0.1150
sample proportion for trucks=45/315=0.1429
pooled proportion=(246+45)/(2140+315)=0.1185
Test statistic:
z=(01150-0.1429)/sqrt(0.1185*(1-0.1185)*((1/2140)+(1/315)))
z=-1.43
critical z value=-1.645
Fail to reject the null hypothesis.
There is not sufficient evidence to suggest that commercial trucks owners violate laws requiring front license plates at a higher rate than owners of passenger cars.
b)
95% confidence interval for difference in proportions
=(0.1150-0.1429)+/-1.96*sqrt((0.1150*(1-0.1150)/2140)+(0.1429*(1-0.1429)/315))
=-0.0279+/-0.0409
=(-0.0688, 0.0130)
As,above CI includes 0 within its limits,we can not conclude that commercial trucks owners violate laws requiring front license plates at a higher rate than owners of passenger cars.
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