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Chi-Square Tests The data comes from a sample of 575 adults in River Forest, IL. Along with a number of demographic and household questions, the participants were asked about their views on death penalty. (Population = all adults in River Forest, IL.) Use the attached dataset (“practice.sav”) to perform a chi-square test of independence to compare the differing opinions toward death penalty (varia

Chi-Square Tests
The data comes from a sample of 575 adults in River Forest, IL. Along with a number of demographic and household questions, the participants were asked about their views on death penalty. (Population = all adults in River Forest, IL.)
Use the attached dataset (“practice.sav”) to perform a chi-square test of independence to compare the differing opinions toward death penalty (variable name = “cappun”) by various racial groups (variable name = “race”).
What is the research question? (Be sure to mention the population, the groups being compared, and the variable they are being used to compare them.)
What is the null hypothesis?

What is the research hypothesis? (Non-Directional)
Basic descriiptive analysis of the variables used (e.g., mode, % for each group, etc) in a paragraph form. (Don’t just include a number of SPSS tables and not talk about it.)
State the rationale for applying a chi-square test of independence in this investigation using appropriate readings and resources in Module 8. (Please cite specific references.)
Write out the results in an APA format.
Example: A chi-square test of independence was performed to examine the relationship between gender and like/dislike of American Idol. The relationship between these variables was significant, X2(1, N=120) = 3.92, p = .048. Female students at CUC were more likely (62%) than their male counterparts (44%) to like American Idol. The size of the effect was small with a phi value of .18.”
Be careful to state the % of “favor” and “oppose” death penalty within each racial category, not the % of different racial groups within “favor” and “oppose” death penalty categories. (An important distinction!)
Please include appropriate tables from the SPSS output used in your analyses.
*** Post your discussion post by 11:59 PM Wednesday, and give critical feedback to at least two peers by noon Friday. After you have received your comment, upload a revised discussion post (if you feel that it is warranted based on your peer feedback and other information you have gathered since the initial post) by 11:59 pm Friday. Please keep the old version(s) in the discussion post so that revisions and progress can be documented.
practice.sav

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