For a chi square test of goodness of fit, the null hypothesis is that the data do not fit the theory.
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Q20: The characteristic that distinguishes chi square from
Q21: The person who published the first article
Q22: Chi square test probabilities come from the
Q23: To get a chi square value, a
Q24: Expected values for a chi square goodness
Q26: The effect size index your text described
Q27: For a 2 x 4 chi square
Q28: Data Set 14-1: With tomatoes, the color
Q29: Data Set 14-1: With tomatoes, the color
Q30: Data Set 14-2: A college student was
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