Statistics (STAT 101) Power, Sample Size, and Type I/II Errors Exam Review
University of Florida
Statistics (STAT 101) | Exam Review

Overview
An exam review on hypothesis testing tradeoffs: Type I vs Type II errors, statistical power, and what drives sample size needs.

Key topics
•Type I error alpha
•Type II error beta
•power = 1 - beta
•effect size and variability
•one-sided vs two-sided test impact

Suggested study tasks
•explain alpha vs beta in plain language
•identify what increases power in a scenario
•compare how sample size affects standard error
•decide when a one-sided test is appropriate
•interpret a power curve qualitatively

Common pitfalls
•confusing alpha with p-value
•thinking smaller alpha always means better
•ignoring effect size when discussing power
•claiming power without specifying the alternative effect