UNC-Chapel Hill SOCI 052 - SOCI 052 Midterm 2 Review (7 pages)

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SOCI 052 Midterm 2 Review



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SOCI 052 Midterm 2 Review

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Pages:
7
School:
University of North Carolina at Chapel Hill
Course:
Soci 052 -

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Soci52 Midterm 2 PID Midterm 2 Review Sheet Directions Page 5 provides data from a sample of GSS 2002 respondents A codebook is also provided which corresponds to the data Use the information contained in the data and the codebook to answer exam questions 1 6 Page 5 also contains some useful formulas which will help you perform calculations as well as some descriptive statistics on the variables in the data set Page 6 contains a bivariate table of highest degree earned by social class 1 Using the grid below create a bivariate table showing the relationship between the nominal variables in the data set Decide which of the variables could logically be the independent variable and which could be the dependent variable Make the independent variable the column variable In your table include both column percentages and the column frequencies as well as all appropriate marginals Be sure that your table includes all of the essential elements of a table 7 points 2 Using the table you constructed for question 1 calculate the appropriate measure of association for these variables Interpret the meaning of the measure of association What does it say about the strength and direction of the association between the two variables How can this association be described using plain English or everyday non technical language 6 points 0 Soci52 Midterm 2 PID 3 Suppose you were interested in testing a theory about education and television viewing Imagine that you thought that an individual s hours of daily television viewing depended on the respondent s educational attainment Use data from the GSS sample to estimate a simple linear regression model testing this idea For this question only calculate the slope and the intercept of the linear regression model 8 points 1 Soci52 Midterm 2 PID 4 Interpret the meaning of the slope and the intercept of the linear regression model that you estimated for question 3 What does it say about the strength and direction of the association between the two



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