Data for head injury measurements​ (in HIC, which is a standard head injury​ criterion) from samples of​ small, midsize, and large cars involved in the standard crash test were used to produce the accompanying ANOVA table. Using a 0.05 significance​ level, test the claim that the different size categories have the same mean head injury measurement. Does the size of a car appear to affect head​ injuries?   ANOVA table Dialog content starts   Sum of Squares df Mean Square F Sig. Between Groups 73630.272 2 36815.136

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Data for head injury measurements​ (in HIC, which is a standard head injury​ criterion) from samples of​ small, midsize, and large cars involved in the standard crash test were used to produce the accompanying ANOVA table. Using a 0.05 significance​ level, test the claim that the different size categories have the same mean head injury measurement. Does the size of a car appear to affect head​ injuries?

 

ANOVA table

Dialog content starts

 
Sum of
Squares
df
Mean Square
F
Sig.
Between Groups
73630.272
2
36815.136
1.606
0.227
Within Groups
435546.443
19
22923.497
 
 
Total
509176.715
21
 
 
 

 

What are the hypotheses to​ test?

H0:

H1:

The test statistic is
​(Round to two decimal places as​ needed.)
 
The​ P-value is
​(Round to three decimal places as​ needed.)
 
 
___________H0. Since the​ P-value is__________than the significance​ level, there
___________sufficient evidence to refute the claim that the different size categories have the same mean head injury measurement. It__________that the size of a car affects head injuries.
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