A simple before-and-after test calls for a paired-samples t-test so long as the dependent variable is not continuous.
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Q2: The chi-square test requires that the expected
Q7: The chi-square test tests the significance of
Q10: Conceptually, ANOVA partitions the total variability into
Q11: One way to test the significance of
Q13: In regression,the standardized Y-intercept term is always
Q14: The chi-square test involves comparison of the
Q17: Once a variable has more than four
Q19: The independent samples t-test tests the differences
Q19: The degrees of freedom are calculated as
Q20: Multivariate statistical analysis permits the researcher to
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