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Sample moments, the Central Limit Theorem (CLT), and hypothesis testing (z-tests and t-tests).

Distinguishing between independent events (where the occurrence of one doesn't change the probability of the other) and mutually exclusive events (which cannot occur at the same time). Page 1 FRM PART I BOOK 2: QUANTITATIVE ANALysis...

A "hot topic" for examiners, used to update prior probabilities as new information becomes available. Sample moments, the Central Limit Theorem (CLT), and

Recent additions include Machine Learning (ML) methods such as neural networks, decision trees, and regularization (LASSO/Ridge). 2. Strategic Focus for Page 1 & Chapter 1 Recent additions include Machine Learning (ML) methods such

Mastering the calculation of conditional , unconditional , and joint probabilities using probability functions. 3. Study Tips for Success FRM Part 1 - Book 2 - Quantitative Analysis - Udemy

Simple and multiple linear regressions, diagnostics (addressing issues like multicollinearity and heteroskedasticity), and predictive performance.

The curriculum typically spans 13 to 15 readings, building from basic statistics to advanced predictive modeling: