A highway safety institution conducts experiments in which cars are crashed into a fixed barrier at 40 mph. In the institute's 40-mph offset test, 40% of the total width of each vehicle strikes a barrier on the driver's side. The barrier's deformable face is made of aluminum honeycomb, which makes the forces in the test similar to those involved in a frontal offset crash between two vehicles of the same weight, each going just less than 40 mph. You are in the market to buy a family car and you want to know if the mean head injury resulting from this offset crash is the same for large family cars, passenger vans, and midsize utility vehicles (SUVs). The data in the accompanying table were collected from the institute's study.
Large_Family_Cars |
Passenger_Vans |
Midsize_Utility_Vehicles |
265 |
147 |
226 |
134 |
238 |
214 |
407 |
343 |
186 |
528 |
698 |
309 |
149 |
548 |
354 |
625 |
473 |
551 |
167 |
323 |
397 |
a.) Normal probability plots indicate that the sample data come from normal populations. Are the requirements to use the one-way ANOVA procedure satisfied?
b.) Test the null hypothesis that the mean head injury for each vehicle type is the same at the α=0.01 level of significance.
c.) What is the P-value (Round to four decimal places as needed.)
Determine the P-value and state the appropriate conclusion below.
Since the P-value is _______ there is sufficient / insufficient evidence to accept / reject the null hypothesis. Thus, we can / cannot conclude that the means are different at the α = 0.01level of significance.
(Round to four decimal places as needed.)
d.) Draw box plots representing the data
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