Please answer questions in image Large Family Cars Passenger Vans Midsize Utility Vehicles SUVs 266 149 225 134 240 218 410 343 188 529 698 305

Algebra: Structure And Method, Book 1
(REV)00th Edition
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Chapter12: Quadratic Functions
Section12.8: Joint And Combined Variation
Problem 3E
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Large Family Cars Passenger Vans Midsize Utility Vehicles SUVs
266 149 225
134 240 218
410 343 188
529 698 305
149 554 356
622 473 554
167 325 396
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 Complete parts (a) through (c) below
C
(a) State the null and alternative hypotheses.
O A. Ho: HCars = Hvans
SUVs and H₁: HCars <Hvans <PSUVs
OB. Ho: HCars = HVans
HSUvs and H₁: at least one mean is different
OC. Ho: HCars = HVans
SUVs and H₁: all means are different
(b) Normal probability plots indicate that the sample data come from normal populations. Are the requirements to use the one-way ANOVA procedure satisfied?
O A. Yes, all the requirements for use of a one-way ANOVA procedure are satisfied.
O B. No, because the samples are not independent.
O C. No, because the largest sample standard deviation is more than twice the smallest sample standard deviation.
O D. No, because the populations are not normally distributed.
(c) Test the hypothesis that the mean head injury for each vehicle type is the same at the a = 0.01 level of significance.
Use technoloav to find the F-test statistic for this data set.
Transcribed Image Text: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 Complete parts (a) through (c) below C (a) State the null and alternative hypotheses. O A. Ho: HCars = Hvans SUVs and H₁: HCars <Hvans <PSUVs OB. Ho: HCars = HVans HSUvs and H₁: at least one mean is different OC. Ho: HCars = HVans SUVs and H₁: all means are different (b) Normal probability plots indicate that the sample data come from normal populations. Are the requirements to use the one-way ANOVA procedure satisfied? O A. Yes, all the requirements for use of a one-way ANOVA procedure are satisfied. O B. No, because the samples are not independent. O C. No, because the largest sample standard deviation is more than twice the smallest sample standard deviation. O D. No, because the populations are not normally distributed. (c) Test the hypothesis that the mean head injury for each vehicle type is the same at the a = 0.01 level of significance. Use technoloav to find the F-test statistic for this data set.
(c) Test the hypothesis that the mean head injury for each vehicle type is the same at the a= 0.01 level of significance.
Use technology to find the F-test statistic for this data set.
F₁ = (Round to three decimal places as needed.)
Determine the P-value and state the appropriate conclusion below.
Since the P-value is, there is
(Round to four decimal places as needed.)
evidence to reject the null hypothesis. Thus, we
conclude that the means are different at the a= 0.01 level of significance.
Transcribed Image Text:(c) Test the hypothesis that the mean head injury for each vehicle type is the same at the a= 0.01 level of significance. Use technology to find the F-test statistic for this data set. F₁ = (Round to three decimal places as needed.) Determine the P-value and state the appropriate conclusion below. Since the P-value is, there is (Round to four decimal places as needed.) evidence to reject the null hypothesis. Thus, we conclude that the means are different at the a= 0.01 level of significance.
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