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Statistical tools are essential in choosing appropriate statistical tests before a study. Four criteria guide test selection: number of variables, type of data (nominal, ordinal, interval, ratio), study design (paired, unpaired, matched, unmatched), and distribution form (parametric, non-parametric). Variables can be univariate, bivariate, or multivariate. Data types include nominal, ordinal, interval, and ratio measurements. Study designs include paired, unpaired, matched, and unmatched data. Understanding these criteria is crucial for selecting the right statistical test.
