The contingency table below shows the income level for a random sample of adults cross classied by sex. Use the information in the table to answer questions 1214. Income Bracket Sex Low Middle High Total Male 23 21 6 55 Female 28 26 8 62 Total 56 4? 14 117 Question 12 1 pts Choose the correct conditional distribution of the variable "sex" for adults in the middle income bracket. 0 Male: 38.2%; Female: 41.9% IS Male: 44.?%; Female: 55.3% 0 Low: 50.9%: Middle: 332%; High: 10.9% 0 Law: 419%: Middle: 402%; High: 12% 0 Male: 173%; Female: 222% D Question 13 1 pts State the null hypothesis to test for independence. O Income bracket and sex are normally distributed. O Income bracket and sex are dependent. O Income bracket and sex are independent. O Income bracket and sex are linearly associated. D Question 14 1 pts Computer results are given below. Test the claim that sex and political party affiliation are independent. Pearson's Chi-squared test data: income.sex X-squared = 0.31512, df = 2, p-value = 0.8542 O 85.42% of the variation in income can be explained by sex. O Since the P-value is close to 1.00, conclude that income bracket sex are strongly associated. O Since the P-value > 0.05, conclude that income bracket and sex are dependent. O Since the P-value > 0.05, conclude there is insufficient evidence to conclude that income bracket and sex are dependent.Question 15 1 pts A coin is slightly bent, and as a result the probability of a head is 0.54. Suppose the coin is tossed three times. Compute the probability of observing exactly one head. Round your answer to three decimal places