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 1279 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 34 31 28 30 123 No diabetes 357 271 358 170 1156 Total 391 302 386 200 1279 What are the null and alternative hypotheses? A. H. The two variables, educational level and diabetic state, are not associated H, The two variables, educational level and diabetic state, are associated OB. H. The two variables, educational level and diabetic state, are associated H, The two variables, educational level and diabetic state, are not associated OC. H. The variable educational level is dependent upon diabetic state H. The variable diabetic state is dependent upon educational level The test statistic is 5.73 (Round to three decimal places as needed) The P-value is 0.001 (Round to three decimal places as needed) What is the conclusion of the independence test? OA. Reject He The data do not provide sufficient evidence of an association B. Do not reject Ho. The data do not provide sufficient evidence of an association OC. Reject Ho. The data provide sufficient evidence of an association OD. Do not reject He The data provide sufficient evidence of an association

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