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6 Cards in this Set
- Front
- Back
Ho for chi square test goodness of fit
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states the PROPORTION of cases in each category of a population of qualitative data
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goodness of fit problem
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asks whether the relative frequencies observed in the categories of a sample frequency distribution are in agreement with the relative frequencies expected to be true in the population
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chi square statistic
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provides a measure of the difference between observed and expected frequencies
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X2 cannot be
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negative because all the differences are squared; both positive and negative differences make a positive contribution to the value of X2
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The null hypothesis is that in the
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POPULATION, the proportional frequency of cases in each category equals a specified value. The proportions hypothesized are derived from a research question of interest to the researcher
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Ho for chi square test of contingency table
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states that in the population, there is no relationship between the two variables; in practice, a test about proportions
be able to fill out a contingency table!! |