Sampling and Estimation (2025 Level I CFA® Exam – Quantitative Methods – Module 5)
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Topic 1 – Quantitative Methods
Reading 5 – Sampling and Estimation
0:00 Introduction and Learning Outcome Statements
3:02 LOS: define simple random sampling and a sampling distribution
4:23 LOS: explain sampling error
6:52 LOS: compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling
12:52 LOS: explain the central limit theorem and its importance
15:00 LOS: calculate and interpret the standard error of the sample mean
17:03 LOS: identify and describe desirable properties of an estimator
20:30 LOS: contrast a point estimate and a confidence interval estimate of a population parameter
22:53 LOS: 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
30:10 LOS: describe the use of resampling (bootstrap, jackknife) to estimate the
sampling distribution of a statistic
32:52 LOS: describe the issues regarding selection of the appropriate sample size, datamining bias, sample selection bias, survivorship bias, look-ahead bias, and timeperiod bias