p-Values: Computation, Meaning & Traps

Compute and interpret p-values without confusing evidence, effect size or hypothesis probability. Contrast tail rules, examine discrete and continuous calibration, and apply transparent reporting principles. Prerequisites: probability, sample summaries, normal and t distributions, and basic algebra. Original questions include worked reasoning and content-based distractor explanations. Progress from core calculations to assumption checks and analytical decisions.

References: Source 1, Source 2.

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