Estimation and Inference (2024 CFA® Level I Exam - Quantitative Methods - Learning Module 7)

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Topic 1 - Quantitative Methods
Learning Module 7 - Estimation and Inference
- LOS : Compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling and their implications for sampling error in an investment problem.
- LOS : Explain the central limit theorem and its importance for the distribution and standard error of the sample mean.
- LOS : Describe the use of resampling (bootstrap, jackknife) to estimate the sampling distribution of a statistic.

[@suburbancommandos7888]

“As long as n is sufficiently large, any non-normal distribution can be approximated as normal”
Can you say that again in another way?
Videos are excellent by the way; I appreciate your intention to have the student UNDERSTAND the concepts!

[@tasmayoza8683]

🙌🙌

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