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 tableDialog content starts Sum of Squares df Mean Square F Sig. Between Groups 73630.272236815.1361.6060.227 Within Groups 435546.4431922923.497 Total 509176.71521What 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.

Question

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 tableDialog content starts Sum of Squares  df  Mean Square  F  Sig.  Between Groups 73630.272236815.1361.6060.227 Within Groups 435546.4431922923.497 Total 509176.71521What 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.

Declan Cameron · Accepted Answer

We have to interpret the result of ANOVA.We have to test that if the different size categories have the same mean head injury measurement.That isH0:different size categories have the same mean head injury measurementH1:different size categories have at least on  different mean head injury measurementFrom the table The test statistic is 1.61 The​ P-value is 0.227Fail to reject H0. Since the​ P-value is more  than the significance​ level, there not sufficient evidence to refute the claim that the different size categories have the same mean head injury measurement. It dont suggest that the size of a car affects head injuries.

Data for head injury measurements (in HIC, which

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