Topics Covered
• Hypothesis testing framework
• Type I error (α)
• Type II error (β)
• Power of a test
• Relationship between α, β, and power
• Factors affecting power:
✔ Sample size
✔ Significance level
✔ Effect size
✔ Standard error
• Trade-offs between errors
• Real-world examples (medical, quality control, etc.)
• Relationship between p-value and errors
• Common misconceptions and exam traps
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