This question: 1 point(s) possible 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 1180 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 28 32 32 34 126 No diabetes 279 333 148 294 1054 Total 307 365 180 328 1180 What are the null and alternative hypotheses? A. Ho: The two variables, educational level and diabetic state, are associated. Ha: The two variables, educational level and diabetic state, are not associated. O B. Ho: The variable educational level is dependent upon diabetic state. Ha: The variable diabetic state is dependent upon educational level. O C. Ho: The two variables, educational level and diabetic state, are not associated. Ha: The two variables, educational level and diabetic state, are 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. Reject Ho. The data do not provide sufficient evidence of an association. O B. Do not reject Ho. The data do not provide sufficient evidence of an association. O C. Do not reject Ho- The data provide sufficient evidence of an association. Question Viewer Submit test MacBook Air DII 30 esc N O. E3 K @ 11 delete CO O N Y O W E R T tab H K D G A S caps lock