2023 CFA Level I Exam: Topic 1. Quantitative Methods - Learning Module 5. Sampling and Estimation

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	1. Sampling Methods compare and contrast probability samples with non-probability samples and discuss applications of each to an investment problem; explain sampling error; compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling;
	2. The Central Limit Theorem explain the central limit theorem and its importance;
	3. Standard Error of the Sample Mean calculate and interpret the standard error of the sample mean;
	4. Point Estimates of the Population Mean identify and describe desirable properties of an estimator; contrast a point estimate and a confidence interval estimate of a population parameter;
	5. Confidence Intervals for the Population Mean and Selection of Sample Size calculate and interpret a confidence interval for a population mean, given a normal distribution with 1) a known population variance, 2) an unknown population variance, or 3) an unknown population variance and a large sample size;
	6. Resampling
	7. Data Snooping Bias, Sample Selection Bias, Look-Ahead Bias, and Time-Period Bias describe the issues regarding selection of the appropriate sample size, data-mining bias, sample selection bias, survivorship bias, look-ahead bias, and time-period bias.

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