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 0.05significance 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? sum of squares df Mean Square F sig Between Groups 237217.926 2 118608.963 4.851 0.016 Within Groups 660161.205 27
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 0.05significance 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? sum of squares df Mean Square F sig Between Groups 237217.926 2 118608.963 4.851 0.016 Within Groups 660161.205 27
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
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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 0.05significance 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?
sum of squares | df | Mean Square | F | sig | ||
---|---|---|---|---|---|---|
Between Groups
|
237217.926
|
2
|
118608.963
|
4.851
|
|
0.016
|
Within Groups
|
660161.205
|
27
|
24450.415
|
|
|
|
Total
|
897379.131
|
29
|
|
|
|
|
PrintDone
What are the hypotheses to test?
H0:
H1:
The test statistic is
(Round to two decimal places as needed.)
Identify the P-value.
The P-value is
(Round to three decimal places as needed.)
▼
Fail to reject
Reject
H0.
Since the P-value is
▼
less
greater
▼
is not
is
▼
does not appear
appears
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