3. QUA-INF-003 — Statistical Inference, Hypothesis Testing, Confidence Intervals and Effect Sizes

Description:

This Master Prompt would focus on the fundamental logic of statistical inference and hypothesis testing. It would guide researchers through null and alternative hypotheses, significance levels, sampling distributions, standard errors, confidence intervals, p-values, Type I and Type II errors, statistical power and effect-size interpretation.

It would emphasize that statistical significance is not equivalent to scientific, practical or clinical importance. Researchers would therefore be guided to interpret confidence intervals and effect sizes alongside p-values and to avoid simplistic conclusions based solely on whether p < 0.05.