One of the reasons that Phi is a popular statistic is that it has both symmetric and asymmetric versions.
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Q1: Assumptions made by the Phi statistic include
A)normal
Q2: Any variable that can be split into
Q3: Under which of these circumstances would you
Q5: Phi is based on an inferential statistic;
Q6: If you explained 25% of the variance
Q7: If a two-variable table creates problems for
Q8: There are alternatives to the use of
Q9: Correlation coefficients for Phi range between zero
Q10: You can't tell the direction of a
Q11: The nominal-level concept of association is that
A)as
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