Ch11PPT - Chapter 11: Chi-Square Chi-Square as a...

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Chapter 11 – 1 Chapter 11: Chi-Square Chi-Square as a Statistical Test Statistical Independence Hypothesis Testing with Chi-Square The Assumptions Stating the Research and Null Hypothesis Expected Frequencies Calculating Obtained Chi-Square Sampling Distribution of Chi-Square Determining the Degrees of Freedom Limitations of Chi-Square Test
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Chapter 11 – 2 Chi-Square as a Statistical Test Chi-square test: an inferential statistics technique designed to test for significant relationships between two variables organized in a bivariate table. Chi-square requires no assumptions about the shape of the population distribution from which a sample is drawn. It can be applied to nominally or ordinally measured variables.
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Chapter 11 – 3 Statistical Independence Independence (statistical): the absence of association between two cross-tabulated variables. The percentage distributions of the dependent variable within each category of the independent variable are identical .
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Hypothesis Testing with Chi-Square Chi-square follows five steps : 1. Making assumptions ( random sampling ) 1. Stating the research and null hypotheses and selecting alpha 1. Selecting the sampling distribution and
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This note was uploaded on 07/13/2011 for the course SOC 301 taught by Professor Heberle during the Spring '11 term at University of Louisville.

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Ch11PPT - Chapter 11: Chi-Square Chi-Square as a...

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