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 2061 riders not wearing a helmet. Complete parts (a) and (b) below. Click the icon to view the tables. (a) Does the distribution of fatal injuries for riders not wearing a helmet follow the distribution for all riders? Use α = 0.05 level of significance. What are the null and alternative hypotheses? OA. Ho: The distribution of fatal injuries for riders not wearing a helmet follows the same distribution for all other riders. H₁: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. OB. Ho: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. H₁: The distribution of fatal injuries for riders not wearing a helmet does follow the same distribution for all other riders. OC. None of these. Compute the expected counts for each fatal injury. Observed Count Location of injury Multiple Locations 1030 868 37 81 45 Head Neck Thorax Abdomen/Lumbar/Spine (Round to two decimal places as needed.) What is the P-value of the test? Expected Count C P-value= (Round to three decimal places as needed.) Screen Shot 2023-... Distribution of fatalities by location of injury Location of injury Proportion Proportion of fatalities by location of injury for motorcycle accidents Abdomen/ Lumbar/ Head Spine 0.030 Multiple locations 0.570 Location of injury and fatalities for 2061 riders not wearing a helmet Location of injury Number Multiple locations 1030 0.310 Head 868 Neck ₁ 0.030 Thorax 0.060 Neck 37 Thorax 81 Full data set D Abdomen/ Lumbar/ Spine 45 Q

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