This document provides guidance on choosing appropriate statistical tests based on characteristics of the data and research questions. It outlines initial questions to consider, such as the number of samples, whether the data is parametric or non-parametric, and the number and independence of groups. Tables show which tests are suited for different data scales (nominal, ordinal, interval/ratio) and sample configurations (one sample, two independent samples, two related samples, more than two samples). The assumptions of various statistical tests like t-tests, ANOVA, chi-square, and correlation analyses are also reviewed.