Location of Injury Probability FrequencyMultiple Locations 0.570 1021Head 0.310 855Neck 0.030 35Thorax 0.060 81Abdomen/Lumbar/Spine 0.030 49 Please help me solve this thank you have a good day 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 isBased 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 a = 0.10?sufficient evidence that the distribution of fatal injuries for riders not wearing a helmetthe distribution for all riders.(b) Compare the observed and expected counts for each category. What does this information tell you?Motorcycle fatalities fromThereoccurfrequently for riders not wearing a helmet, while they occurfrequently 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 faof injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2041 riders not wearing a helmet. Complete parts (a) and (b) bClick 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 = 0.10 level of significance. What are the null and ahypotheses?Ho: The distribution of fatal injuries for riders not wearing a helmetH₁: The distribution of fatal injuries for riders not wearing a helmetCompute the expected counts for each fatal injury.Observed CountLocation of injuryMultiple LocationsHeadNeckThoraxAbdomen/Lumbar/Spine1021855358149CExpected Countthe same distribution for all other riders.the same distribution for all other riders.

From given data we have ; Location of Injury Probability Frequency Multiple 0.570 1021 Head…

A traffic safety company publishes reports about motorcycle fatalities and helmet use. the first accompanying data table, the distribution shows the proportion of of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2041 riders not wearing a helmet. Complete parts (a) and (b) Click the icon to view the tables. Click the icon to view the chi-square table of critical values.

A traffic safety company publishes reports about motorcycle fatalities and helmet use. the first accompanying data table, the distribution shows the proportion of of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2041 riders not wearing a helmet. Complete parts (a) and (b) Click the icon to view the tables. Click the icon to view the chi-square table of critical values.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

100%

Location of Injury Probability Frequency
Multiple Locations 0.570 1021
Head 0.310 855
Neck 0.030 35
Thorax 0.060 81
Abdomen/Lumbar/Spine 0.030 49

Please help me solve this thank you have a good day

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 a = 0.10?
sufficient evidence that the distribution of fatal injuries for riders not wearing a helmet
the distribution for all riders.
(b) Compare the observed and expected counts for each category. What does this information tell you?
Motorcycle fatalities from
There
occur
frequently for riders not wearing a helmet, while they occur
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 fa
of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2041 riders not wearing a helmet. Complete parts (a) and (b) b
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 = 0.10 level of significance. What are the null and a
hypotheses?
Ho: The distribution of fatal injuries for riders not wearing a helmet
H₁: The distribution of fatal injuries for riders not wearing a helmet
Compute the expected counts for each fatal injury.
Observed Count
Location of injury
Multiple Locations
Head
Neck
Thorax
Abdomen/Lumbar/Spine
1021
855
35
81
49
C
Expected Count
the same distribution for all other riders.
the same distribution for all other riders.

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