- CFA Exams
- 2023 Level I
- Topic 1. Quantitative Methods
- Learning Module 5. Sampling and Estimation
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Learning Outcome Statements PDF Download
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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