Topics Covered
• Sampling distributions (mean and proportion)
• Central Limit Theorem (CLT)
• Conditions for normal approximation
• Mean and standard deviation of sampling distributions
• Standard error formulas
• Effect of sample size on shape and variability
• Comparing simulations and distributions
• Binomial vs sampling distributions
• Using simulations to evaluate claims
• Exam-style problem strategies
• Common mistakes students make
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