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 2083 riders not wearing a helmet. Using the data below, complete parts (a) and (b).
Location of Injury | Probability | Frequency |
Multiple Locations | 0.57 | 1044 |
Head | 0.31 | 877 |
Neck | 0.03 | 32 |
Thorax | 0.06 | 81 |
Abdomen/Lumbar/Spine | 0.03 | 49 |
(a) Compute the expected counts for each fatal injury.
Location of injury |
Observed Count |
Expected Count |
---|---|---|
Multiple Locations |
1044 |
? |
Head |
877 |
? |
Neck |
32 |
? |
Thorax |
81 |
? |
Abdomen/Lumbar/Spine |
49 |
? |
(Round to two decimal places as needed.)
(b) Determine the P-value of the test. (round to three decimal places as needed)
Using Minitab software, (Stat -> Tables -> Chi square goodness-of fit Test), we get the following output :
Now,
The value of chi square statistic = 133.393
and P-value = 0
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