A chi-square test for independence is called a distribution-free test since the test is based on categorical data rather than on populations that follow any particular distribution.
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Q10: The chi-square test is unreliable when there
Q11: The chi-square test for independence is a
Q12: If two variables are independent, we would
Q13: In a chi-square test for independence, observed
Q14: Observed frequencies in a chi-square goodness-of-fit test
Q16: The shape of the chi-square distribution depends
Q17: Cochran's Rule requires observed frequencies of 5
Q18: The degrees of freedom in a 3
Q19: The null hypothesis for a chi-square contingency
Q20: The null hypothesis for a chi-square test
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