question archive We document with the sample of 3829 Canadians the following: Support for universal drug coverage 2010 years of education < 11 yrs Some college some univ university post grad Total grad studies Support 440 523 553 555 333 2404 Opposition 233 322 345 367 158 1425 673 845 898 922 491 3829 Sa
We document with the sample of 3829 Canadians the following: Support for universal drug coverage 2010 years of education < 11 yrs Some college some univ university post grad Total grad studies Support 440 523 553 555 333 2404 Opposition 233 322 345 367 158 1425 673 845 898 922 491 3829 Sa
Subject:SociologyPrice: Bought3
We document with the sample of 3829 Canadians the following: Support for universal drug coverage 2010 years of education < 11 yrs Some college some univ university post grad Total grad studies Support 440 523 553 555 333 2404 Opposition 233 322 345 367 158 1425 673 845 898 922 491 3829 Sa. What is the likely "dependent variable" and "independent variable" in the above tables? (2 marks) 6b. Using the appropriate percentages (either column or row), is there preliminary evidence to suggest that the two variables are associated? (i.e. does support for free drugs seem to vary by level of education?) In answering this question, briefly interpret a few of the percentages that you calculated to demonstrate. (5 marks) 6c. With this table, is there a significant association? (5 marks) 6d. Working with this contingency tables and percentages (percentage difference method), what can we say about support for low cost education and the relative strength of any potential association? (5 marks) 6e. What is the strength of this association using either Phi or Cramer's V? (2 marks)
