Drop Down 1: Follows/Does not follow Drop Down 2: Does not follow/follows The ra

Question

Drop Down 1: Follows/Does not follow

Drop Down 2: Does not follow/follows

The ragne of P-values for the test is (between .05 and .10/between .025 and .05/less than .01/greater than .10/between .01 and .025)

Reject/Do Not reject H0 there is/isnot sufficient evidence that the distribution of fatal injuries for riders not wearing a helmet follows/does not follow the distribution for all riders.

Motorcycle fatalities from ((abdamend/lumber/spine)/thorax/neck/head injuires/multiple locations) occur more/less frequently for riders not wearing a helmet, while they occur more/less frequently for all other locations.

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. ou can complete this problem by hand, or use Minitab whichever you prefer Click the icon to view the tables Click the icon to view the chi-square table of critical values. null and alternative hypotheses? Ho: The distribution of fatal injuries for riders not wearing a helmet Y the same distribution for all other riders H1: The distribution of fatal injuries for riders not wearing a helmet the same distribution for all other riders Compute the expected counts for each fatal injury Location of injury Observed Count Expected Count Multiple Locations 1038 Head 857 Neck Thorax 50 Abdomen/Lumbarl Spine (Round to two decimal places as needed.) What is the test statistic? X" Round to three decimal places as needed. What is the range of P-values for the test? The range of P-values for the test is Based on the results, does the distribution of fatal injuries for riders not wearing a helmet follow the distribution for all other riders at a significance level of 0.01? Y There sufficient evidence that the distribution of fatal injuries for riders not wearing a helmet Y the distribution for all riders (b) Compare the observed and expected counts for each category. What does this information tell you? occur Y frequently for riders not wearing a helmet, while they occur frequently for all other Motorcycle fatalities from locations

Explanation / Answer

1)does follow

2)does not follow

expected count:

chi stat X2 =114.460

p value = less than .01

Reject there is sufficient evidence that the distribution of fatal injuries for riders not wearing a helmet does not follow the distribution for all riders.

Motorcycle fatalities from multiple locations occuress frequently for riders not wearing a helmet, while they occur more frequently for all other locations

observed Expected Chi square Failure P O E=total*p =(O-E)^2/E multiple 0.57 1038.00 1178.76 16.81 head 0.31 857.00 641.08 72.72 neck 0.03 34.00 62.04 12.67 Thorax 0.06 89 124.08 9.92 Abdomen/ 0.03 50 62.04 2.34 2068 2068 114.46

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