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a. A trafc safety company publishes reports about motorcycle fatalities and helmet use. in the first accompanying data table. the distribution shows the propo an

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a. A trafc safety company publishes reports about motorcycle fatalities and helmet use. in the first accompanying data table. the distribution shows the propo an fatalities by location of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2065 riders not wearing a helmet. Complete parts (a) and (b) below. '3 Click the icon to view the tables. 7 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 or = 0.10 level of signicance. What are the null and alternative hypotheses? H0: The distribution of fatal injuries for riders not wearing a helmet (1) the same distribution for all other riders. H1: The distribution of fatal injuries for riders not wearing a helmet (2) the same distribution for all other riders. Compute the expected counts for each fatal injury. Location of injury Observed Count Expected Count Multiple Locations 1039 Head 857 Neck 38 Thorax 83 AbdomenILumbarISpine 48 (Round to two decimal places as needed.) What is the test statistic? 1% = |:| (Round to three decimal places as needed.) What is the range of Pvalues tor the test? The range of Pvalues tor the test is (3) 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 o = 0.10? (4) There (5) sufcient evidence that the distribution of fatal injuries for riders not wearing a helmet (6) the distribution for all riders. 0:) Compare the observed and expected counts for each category. What does this information tell you? Motorcycle fatalities from (7) occur (a) frequently for riders not wearing a helmet, while they occur (9) frequently for all other locations. 8: Distribution of fatalities by location of injuw Full data set @ Proportion of fatalities by location of injury for motorcycle accidents Location of Injury Multiple locations Head Neck Thorax Abdomen] Lumbar! Spine Proportion 0.570 0.310 0.030 0.060 0.030 Location of injury and fatalities for 2065 riders not wearing a helmet Location at injury Multiple locations Head Neck Thorax Abdomen} Lumbar! Spine Number 1039 857 38 83 48 7: Chi-Square Table 91 Chi-Square (13) Distribution Awe to the Rig\" 01 Clkll Value Degrees at Freedom 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0.005 1 0.001 0M4 0.016 2.7176 3.541 5.024 6.635 7.879 2 0.010 0.020 0.151 0.1% 0.211 4.\" 5.991 7.373 9.210 10.597 3 0.072 0.115 0.216 0.352 0.584 6.251 7.815 9.343 11345 12.833 4 0.207 0.297 0.484 0.711 1.154 7.779 9.4113 11.143 13.277 14.\") 5 run 0.554 0&1 \"45 1.610 9.236 11.070 mm Isms 15.750 6 0.676 0.812 1.2.17 1.535 2.2114 10.645 12.592 14.449 16.512 1&545 7 0.989 1.239 1.6\" 2.167 In} 12.017 14.067 16.1713 13.475 20.273 I 1344 1.646 2.131 2.133 3.4911 13.362 15.5." 17.535 20.090 21.\" 9 1.735 Z4\" 2.7\") 332.5 4.18 14.684 16.919 19.12\" 21.6\" 3.39 1. 2.1\" 2.553 3.247 3.940 4\" 15.\" 18.377 33.435 23.209 3.138 11 2.603 3.1153 3.816 4575 5578 17.275 19.675 21.920 24.725 26.757 12 3.074 3571 4.404 5.226 6.304 18.549 21.026 23.337 26.217 11130!) 1.5 3565 4.107 5.1K\" 5.392 7.042 19.812 22.362 24.736 27.6811 29.819 14 4.075 4\" 5.629 6.571 7.7\" 21.\" 23.6115 26.119 29.141 31.319 1.5 4.601 5229 6.262 7.261 11547 22.3117 24.9% 27.4% 30.578 32.801 16 5.142 5.312 6.\" 7.\"; 9.312 3542 26.2% 28.345 32.000 34.\" 17 5597 6.443 7.564 8.67.2 1m 24.769 27.537 30.191 33.409 35.718 15 W 7.4115 S231. 93\" 141\" 25.\" m 31.526 34-505 37-156 19 6844 7.633 SW7 10.117 11.651 27.294 30.144 32.32 36.191 38.582 3 7.434 8.2\" 9.591 10.51 12.443 23.412 31.410 34.170 37.566 39.997 21 8.034 8.897 10.283 1 1.591 13.240 29.615 32.671 33.479 33.932 41.401 22 8.643 9542 IQWZ 12.333 14.041 30.813 33.924 36.731 40.289 42.7% H 9.260 10.1% 11.689 13.091 14.1143 32.007 35.172 33.076 41.6311 44.1151 24 9.836 104856 11431 13.348 15.659 33.196 36.415 39.364 41% 45.559 25 10.520 11524 13.1w 14.611 16.473 34m 37.652 40.646 44.314 46.923 1' 11.160 12.1\" 13844 [5.379 17.292 35.563 38.385 41.923 45.612 43.2\" 27 11m 12.879 14573 1.6.151 13.114 36.741 40.113 43.1\" 46.\" 49.545 3 12.461 13.5\" 1513 16.928 18.939 37.916 41.337 44.461 43.278 50.9\" 29 13.121 14.756 16.047 17.7\" 19.763 \"W 42557 45m 49.\" 51336 M 13.787 1.4.9\" 16.791 15493 211599 40.256 43.775 46.979 50.392 53.672 4. $307 22.164 214-433 26-50? 29.051 5135 55.753 59.342 63.691 66.766 5. 27.991 29.707 32.357 34.764 37.6119 63.167 6755 71.420 76.154 79.490 60 35534 37.485 40.482 43.188 46.459 74.397 79.132 $295 83.379 91.952 711 43.275 45. 442 48.758 51.739 55.329 85.527 90.531 95.023 1130.425 1114.215 MI 51.172 53.540 57.153 60.391 64173 15.5711 101.379 115.629 112.329 116.321 \" 59.1% 61.754 65.647 69.1% 73291 107.565 113.145 118.136 124.116 128.299 1\" 67\" 711.155 14.222 77.929 w \"8.4\" 124.342 119.561 135.377 1&169 (1) O tollows (2) 0 follows (3) 0 between 0.05 and 0.10. O greater than 0.10. (4) O Reject Ho, 0 does not follow 0 does not follow 0 between 0.01 and 0.025. Q Do \"01751901170. 0 less than 0.01. 0 between 0.025 and 0.05. (5) O is not (6) 0 follows (7) 0 head injuries 0 neck (8) 0 more (9) 0 less 0 is 0 does not follow 0 multiple iocations 0 less 0 more 0 thorax O ahdomenllumbarlspine 9. A book claims that more hockey players are born in January through March than in October through December. The following data show the number of players selected in a draft of new players for a hockey league according to their birth month. Is there evidence to suggest that hockey players' birthdates are not uniformly distributed throughout the year? Use the level of signicance or = 0.05. Click here to view the tattle.\"j

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