Preventable chronic diseases are increasing rapidly in some regions, particularly diabetes. Shown below is a contingency table showing cross classification of educational attainment and diabetic state for a random sample of 999 people in a region (HS is high school). At the 1% significance level, do the data provide sufficient evidence to conclude that an association exists between educational level and diabetic state for the region? Less than HS HS grad Some college College grad Total Diabetes 20 37 35 37 129 No diabetes 119 185 201 365 370 Total 139 22 236 402 999 What are the null and alternative hypotheses? O A. Ho: The variable educational level is dependent upon diabetic state. Ha: The variable diabetic state is dependent upon educational level. O B. Ho: The two variables, educational level and diabetic state, are not associated. Ha: The two variables, educational level and diabetic state, are associated. O C. Ho: The two variables, educational level and diabetic state, are associated. Ha: The two variables, educational level and diabetic state, are not associated. The test statistic is. (Round to three decimal places as needed.) The P-value is (Round to three decimal places as needed.) What is the conclusion of the independence test? O A. Do not reject Ho. The data do not provide sufficient evidence of an association. O B. Reject Ho. The data provide sufficient evidence of an association. O C. Reject Ho. The data do not provide sufficient evidence of an association. O D. Do not reject Ho. The data provide sufficient evidence of an association