December 2020 CFA Level 1: Study Session 3. Quantitative Methods: Application

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	Reading 10. Sampling and Estimation
	1. Introduction a. define simple random sampling and a sampling distribution; b. explain sampling error; c. distinguish between simple random and stratified random sampling;
	2. Time-Series and Cross-Sectional Data d. distinguish between time-series and cross-sectional data;
	3. The Central Limit Theorem e. explain the central limit theorem and its importance;
	4. Standard Error of the Sample Mean f. calculate and interpret the standard error of the sample mean;
	5. Estimators g. identify and describe desirable properties of an estimator; h. distinguish between a point estimate and a confidence interval estimate of a population parameter;
	6. Confidence Intervals for the Population Mean i. describe properties of Student's t-distribution and calculate and interpret its degrees of freedom; j. 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 variance and a large sample size;
	7. Common Biases in Sampling Methods k. 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.