- CFA Exams
- 2026 Level I
- Topic 1. Quantitative Methods
- Learning Module 7. Estimation and Inference
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Learning Outcome Statements PDF Download
| 1. Sampling Methods compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling and their implications for sampling error in an investment problem | |
| 2. The Central Limit Theorem and Inference explain the central limit theorem and its importance for the distribution and standard error of the sample mean | |
| 3. Bootstrapping and Empirical Sampling Distributions describe the use of resampling (bootstrap, jackknife) to estimate the sampling distribution of a statistic |
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