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A traffic safety company publishes reports about motorcycle fatalities and helmet use. In the first accompanying data​ table, the distribution shows the proportion of fatalities by location of injury...

A traffic safety company publishes reports about motorcycle fatalities and helmet use. In the first accompanying data​ table, the distribution shows the proportion of fatalities by location of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2037 riders not wearing a helmet. Complete parts ​(a) and ​(b) below.

a) Does the distribution of fatal injuries for riders not wearing a helmet follow the distribution for all​ riders? Use

a=0.05 level of significance. What are the null and alternative​ hypotheses?

Location of injury Multiple locations Head Neck Thorax Abdomen/ Lumbar/ Spine

Proportion 0.570 0.310 0.030 0.060 0.030

Location of injury and fatalities for 2037 riders not wearing a helmet

Location of injury Multiple locations Head Neck Thorax Abdomen/ Lumbar/ Spine Number

Proportion    1020 851 32 86 48

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Answer #1

a)

Hypotheses are:

H0:  The distribution of fatal injuries for riders not wearing a helmet follow the distribution for all​ riders.

Ha:  The distribution of fatal injuries for riders not wearing a helmet do not follow the distribution for all​ riders.

Following is the calculations for chi square test statistics:

O p E=2037*p (O-E)^2/E
1020 0.57 1161.09 17.14456941
851 0.31 631.47 76.31941486
32 0.03 61.11 13.8666683
86 0.06 122.22 10.73382752
48 0.03 61.11 2.812503682
Total 2037 1 2037 120.8769838

The test statistics is

(O-120.88

Degree of freedom: df=n-1=4

The p-value is: 0.0000

Since p-value is less than 0.05 so we reject the null hypothesis.

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