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 2068 riders not wearing a helmet. Complete parts (a) and (b) below. Click the icon to view the tables. Click the icon to view the chi-square table of critical values. ... (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? Ho: The distribution of fatal injuries for riders not wearing a helmet follows the same distribution for all other riders. H4: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. Compute the expected counts for each fatal injury. Location of injury Observed Count Expected Count Multiple Locations 1044 Head 855 Neck 34 Thorax 90 Abdomen/Lumbar/Spine 45 (Round to two decimal places as needed.)

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HW11Q6

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 2068 riders not wearing a helmet. Complete
parts (a) and (b) below.
Click the icon to view the tables.
Click the icon to view the chi-square table of critical values.
(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?
Ho: The distribution of fatal injuries for riders not wearing a helmet
follows
the same distribution for all
other riders.
H,: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all
other riders.
Compute the expected counts for each fatal injury.
Location of injury
Observed Count
Expected Count
Multiple Locations
1044
Head
855
Neck
34
Thorax
90
Abdomen/Lumbar/Spine
45
(Round to two decimal places as needed.)
Transcribed Image Text: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 2068 riders not wearing a helmet. Complete parts (a) and (b) below. Click the icon to view the tables. Click the icon to view the chi-square table of critical values. (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? Ho: The distribution of fatal injuries for riders not wearing a helmet follows the same distribution for all other riders. H,: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. Compute the expected counts for each fatal injury. Location of injury Observed Count Expected Count Multiple Locations 1044 Head 855 Neck 34 Thorax 90 Abdomen/Lumbar/Spine 45 (Round to two decimal places as needed.)
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