- CFA Exams
- 2022 Level I
- Topic 1. Quantitative Methods
- Learning Module 5. Sampling and Estimation
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Learning Outcome Statements PDF Download
| 1. Sampling Methods a. compare and contrast probability samples with non-probability samples and discuss applications of each to an investment problem; b. explain sampling error; c. compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling; | |
| 2. The Central Limit Theorem d. explain the central limit theorem and its importance; | |
| 3. Standard Error of the Sample Mean e. calculate and interpret the standard error of the sample mean; | |
| 4. Point Estimates of the Population Mean f. identify and describe desirable properties of an estimator; g. 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 h. 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 i. describe the use of resampling (bootstrap, jackknife) to estimate the sampling distribution of a static; | |
| 7. Data Snooping Bias, Sample Selection Bias, Look-Ahead Bias, and Time-Period Bias j. 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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