PSYCH295ClassBriefingsCh16Spr11

# PSYCH295ClassBriefingsCh16Spr11 - Chapter 16 The Chi-Square...

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Chapter 16: The Chi-Square Statistic Hypothesis tests used thus far tested hypotheses about population parameters Parametric tests share several assumptions Normal distribution in the population Homogeneity of variance in the population Numerical score for each individual Nonparametric tests are needed when the research situation does not conform to the requirements of parametric tests.

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Chapter 16: The Chi-Square Statistic Do not state the hypotheses in terms of a specific population parameter Make few assumptions about the population distribution Often termed distribution free tests Participants usually classified into categories Nominal or ordinal scales are used Data for nonparametric tests are frequencies
Chapter 16: The Chi-Square Statistic The Chi-Square for Goodness of Fit Test Uses sample data to test hypotheses about the shape or proportions of a population distribution. The test determines how well the obtained sample proportions fit the population proportions specified by the null hypothesis.

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Chapter 16: The Chi-Square Statistic The Chi-Square for Goodness of Fit Test The null hypothesis (H 0 ): Specifies the proportion (or percentage) of the population in each category, and will generally fall into one of the following categories: No preference: » States that there is no preference among the different categories, or that the population is divided equally among
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PSYCH295ClassBriefingsCh16Spr11 - Chapter 16 The Chi-Square...

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