A correlation of .60 indicates that 36 percent of the variance in the dependent variable has been explained.
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Q3: When two groups are significantly different on
Q4: The selection of the significance level
A) is
Q5: The ultimate aim of every significance test
Q6: Which of the following hypotheses assumes that
Q7: The smaller the sample, the greater the
Q9: We commit a Type II error when
Q10: If a result is statistically significant, it
Q11: A .05 level of significance means that
A)
Q12: The more statistically significant a finding, the
Q13: If a Cohen's d effect size exceeds
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