When comparing the means of two or more categories of a nominal variable, we can use the eta statistic to depict the strength of the relationship.
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Q13: A correlation of +.95:
A)Is stronger than a
Q14: In a study assessing the relationship between
Q15: In a study assessing whether gender is
Q16: A study finds a statistically significant correlation
Q17: A curvilinear scatterplot will usually be associated
Q18: A correlation of -.40 is stronger than
Q19: A correlation of -.60 between quality of
Q20: When two variables are at the ratio
Q21: Just as in other tests of significance,
Q23: Phi should be used to calculate the
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