Description

This Master Prompt provides a comprehensive, technically rigorous and research-oriented framework for planning, selecting, executing, validating, interpreting and reporting statistical hypothesis tests using GraphPad Prism. It integrates research question formulation, null and alternative hypotheses, experimental design, measurement scales, independent and paired observations, sampling distributions, parametric and nonparametric statistical procedures, assumption assessment, effect-size estimation, confidence intervals, statistical power and multiple-comparison control into a unified analytical workflow. The framework addresses one-sample, paired and unpaired t-tests, Welch's t-test, Mann–Whitney tests, Wilcoxon signed-rank tests, sign tests, normality assessment and relevant variance diagnostics, emphasizing the relationship between statistical test selection and the underlying experimental structure. Particular attention is given to interpreting p-values, confidence intervals, effect magnitudes, adjusted significance levels, false-positive risks and nonsignificant findings without overstating scientific conclusions.