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8 Cards in this Set
- Front
- Back
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nonparametric tests
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a test that does not test hypotheses about parameters or make assumptions about parameters. the data usually consists of frequencies
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parametric statistical tests
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test that evaluates hypotheses about population parameters and makes assumptions about parameters. requires numerical scores.
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chi square statistic
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a test statistic that evaluates the discrepancy between a set of observed frequencies and a set of expected frequencies
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chi square test for goodness of fit
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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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observed frequency
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the number of individuals from the sample who are classified in a particular category. each individual is covered in one and only one category
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expected frequency
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the expected frequency for each category is the frequency value that is predicted from the null hypothesis and the sample size (n). the expected frequencies define an ideal, hypothetical sample distribution that would be obtained if the sample proportions were in perfect agreement with the proportions specified in the null hypothesis
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chi square test for independence
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uses the frequency data from a sample to evaluate the relationship between two variables in the population
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independence of variables
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two variables are independent when there is no, consistent predictable relationship between them. the frequency distribution for one variable is not related to or dependent upon the categories of the second variable.
saying that there is no relationship between 2 variables is the same as saying that their distributions have equal proportions |
