A significant result when conducting a chi-square test for goodness of fit indicates that it does not fit the expected distribution stated by the null hypothesis
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Q2: Sir Frances Galton created the chi-square test
Q3: Parametric and nonparametric tests differ fundamentally in
Q4: nonparametric tests are useful primarily because they
Q5: Who devised the chi-square test, and why
Q6: nonparametric tests are generally used for qualitative
Q8: the chi-square test for goodness of fit
Q9: The primary purpose of a two-way chi-square
Q10: In a chi-square test of independence, the
Q11: True or False Likert scales are technically
Q12: there is some controversy over whether Likert
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