Chapter13 - Chapter 13 The Chi-Square Test Chi-Square as a...

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Chapter 13 – 1Chapter 13: The Chi-Square TestChi-Square as a Statistical TestStatistical IndependenceHypothesis Testing with Chi-SquareThe AssumptionsStating the Research and Null HypothesisExpected FrequenciesCalculating Obtained Chi-SquareSampling Distribution of Chi-SquareDetermining the Degrees of Freedom Limitations of Chi-Square Test
Chapter 13 – 2Chi-Square as a Statistical TestChi-square test:an inferential statisticstechnique designed to test for significant relationshipsbetween two variables organized in a bivariate table.Chi-square requires no assumptionsabout the shape of the population distribution from which a sample is drawn.It can be applied to nominallyor ordinallymeasured variables.
Chapter 13 – 3Statistical IndependenceIndependence (statistical):the absenceofassociationbetween two cross-tabulated variables. The percentage distributions of the dependent variable within each category of the independent variable are identical.
Chapter 13 – 4Hypothesis Testing with Chi-SquareChi-square follows five steps:1.Making assumptions (random sampling)2.Stating the research and null hypotheses and selecting alpha3.

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