A case-control (or retrospective) study was conducted to investigate a relationship between the colors of helmets wom by motorcycle drivers and whether they are injured or killed in a crash. Results are given in the accompanying table. Using a 0.01 significance level, test the claim that injuries are independent of helmet color. Color of Helmet White 353 Black Yellow Red Blue Controls (not injured) Cases (injured or killed) 502 34 163 94 - X Chi-square distribution table 223 104 67 45 Click here to view the chi-square distribution table. Area to the Right of the Critical Value Identify the null and alternative hypotheses. Choose the correct answer below. Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 O A. Ha: Injuries and helmet color are dependent 0.001 0.004 0.016 0.211 2.706 H: Injuries and helmet color are independent 2 0.010 0.020 0.051 0.103 4.605 0.072 0.115 0.216 0.484 O B. Ho: Whether a crash occurs and helmet color are independent 0.352 0.584 6.251 4 0.207 0.297 0.711 1.064 7.779 H: Whether a crash occurs and helmet color are dependent 0.412 0.554 0.831 1.145 1.610 9.236 OC. Ho: Whether a crash occurs and helmet color are dependent 6 0.676 0.872 1.237 1.635 2.204 10.645 0.989 1.239 1.690 2.180 2.700 H: Whether a crash occurs and helmet color are independent 2.167 2.833 12.017 1.344 1.646 2.733 3.490 13.362 O D. Ho: Injuries and helmet color are independent 1.735 2.088 3.325 4.168 14.684 H: Injuries and helmet color are dependent 10 2,156 2.558 3.247 3.940 4.865 15.987 Compute the test statistic. (Round to three decimal places as needed.) Print Done Find the critical value(s).