Type I Error, Type II Error & Statistical Power

Understand testing errors and statistical power as conditional repeated-sampling probabilities. Calculate examples, interpret power curves and evaluate changes in noise, sample size and decision thresholds. 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.

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