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Parametric tests are widely used in counseling and family therapy research to analyze quantitative data when certain statistical assumptions are met. They rely on the estimation of population parameters such as means and variances and are particularly useful in comparing groups, assessing relationships, and testing hypotheses with precision. Common examples include t-tests, analysis of variance (ANOVA), and Pearson’s product–moment correlation, which help evaluate the effectiveness of therapeutic interventions, differences between client groups, and associations among psychological variables. These tests provide greater statistical power than non-parametric alternatives when their underlying conditions are satisfied, enabling researchers to detect smaller effects and draw _____ _________ ___ ______ ____ _________ _____ ________ _______ _______ ________.
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