An insurance company collects data on seat-belt use among drivers in a country. Of 1400 drivers 30-39 years old, 31% said that they buckle up, whereas 349 of 1100 drivers 55-64 years old said that they did. At the 10% significance level, do the data suggest that there is a difference in seat-belt use between drivers 30-39 years old and those 55-64? Let population 1 be drivers of age 30-39 and let population 2 be drivers of age 55-64. Use the two-proportions z-test to conduct the required hypothesis test. What are the hypotheses for this test? O A. Ho: P1 P2 E. HO: P1 = P2, Ha: P1 # P2 OF. Ho: P1 > P2, Ha : P1 = P2 Calculate the test statistic. z= -0.39 (Round to two decimal places as needed.) Calculate the P-value. P = 0.711 (Round to three decimal places as needed.) Which of the following is the correct conclusion for the hypothesis test? A. At the 10% significance level, reject Ho; the data provide sufficient evidence to accept Ha. B. At the 10% significance level, do not reject Ho; the data do not provide sufficient evidence to accept Ha. O C. At the 10% significance level, do not reject Ho; the data provide sufficient evidence to accept Ha. O D. At the 10% significance level, reject Ho; the data do not provide sufficient evidence to accept Ha