is used for.  Also, where relevant, give examples.     1.  Gamma:                                   2.  Coefficient of Determination (R2):     3.  Expected Cell Frequencies:                                                     4.  Scatterplot:       B. Suppose we are interested in the relationship between individuals’ place of residence (rural versus urban) and their political affiliation (Republican versus Democrat).  A random sample of 100 individuals yields the following crosstabulation:   Political Affiliation   Place of Residence         Republican     Democrat   Rural            21           29 Urban              14           36     1.In words, what is the null hypothesis to be tested?           2.Is the relationship between place of residence and political affiliation statistically significant at the .05 level? (Be sure to show the statistics that lead to your decision.)                          3.Compute and interpret an appropriate measure of association for the relationship between these two variables.                   4.Using the typical rules of thumb, would you say this is a weak, moderate, or strong relationship?     C. To test the null hypothesis that computer programmers' college major is not related to their programming capabilities, the work of 100 randomly chosen programmers was rated as either weak or strong.  The following crosstabulation was obtained:

Social Psychology (10th Edition)
10th Edition
ISBN:9780134641287
Author:Elliot Aronson, Timothy D. Wilson, Robin M. Akert, Samuel R. Sommers
Publisher:Elliot Aronson, Timothy D. Wilson, Robin M. Akert, Samuel R. Sommers
Chapter1: Introducing Social Psychology
Section: Chapter Questions
Problem 1RQ1
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 is used for.  Also, where relevant, give examples.
 
 
1.  Gamma:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2.  Coefficient of Determination (R2):
 
3.  Expected Cell Frequencies:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4.  Scatterplot:
 
 
 
B. Suppose we are interested in the relationship between individuals’ place of residence (rural versus urban) and their political affiliation (Republican versus Democrat).  A random sample of 100 individuals yields the following crosstabulation:
 
Political Affiliation
 
Place of Residence         Republican     Democrat
 
Rural            21           29
Urban              14           36
 
 
1.In words, what is the null hypothesis to be tested?
 
 
 
 
 
2.Is the relationship between place of residence and political affiliation statistically significant at the .05 level? (Be sure to show the statistics that lead to your decision.) 
 
 
 
 
 
 
 
 
 
 
 
 
3.Compute and interpret an appropriate measure of association for the relationship between these two variables.
 
 
 
 
 
 
 
 
 
4.Using the typical rules of thumb, would you say this is a weak, moderate, or strong relationship?
 
 
C. To test the null hypothesis that computer programmers' college major is not related to their programming capabilities, the work of 100 randomly chosen programmers was rated as either weak or strong.  The following crosstabulation was obtained:

 

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