2026 CFA Level I Exam: Topic 1. Quantitative Methods - Learning Module 7. Estimation and Inference

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	1. Sampling Methods compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling and their implications for sampling error in an investment problem
	2. The Central Limit Theorem and Inference explain the central limit theorem and its importance for the distribution and standard error of the sample mean
	3. Bootstrapping and Empirical Sampling Distributions describe the use of resampling (bootstrap, jackknife) to estimate the sampling distribution of a statistic

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