The accompanying table describes the distribution of eye colors reported by male and female statistics students. Is there sufficient evidence to warrant rejection of the belief that gender and eye color a independent traits? Use a 0.01 significance level. Click the icon to view the data table. Determine the null and alternative hypotheses. Choose the correct answer below. OA. Ho: Males are not more likely to have brown eyes than females. H: Males are more likely to have brown eyes than females. OB. Ho: Gender and eye color are independent traits. H: Gender and eye color are not independent traits. OC. Ho: Gender and eye color are not independent traits. H: Gender and eye color are independent traits. OD. Ho: Males are more likely to have brown eyes than females. H: Males are not more likely to have brown eyes than females. Determine the test statistic. x=(Round to two decimal places as needed.) Determine the P-value of the test statistic. P-Value= (Round to three decimal places as needed.) Gender and Eye Color Data Blue Brown Green Hazel Male 345 287 106 160 Female 378 350 195 196 Print Done Use a 0.01 significance level to test the claim that gender is independent of eye color. OA. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color.