Sample moments, the Central Limit Theorem (CLT), and hypothesis testing (z-tests and t-tests).
Fundamentals of probability, random variables (discrete and continuous), and common univariate/multivariate distributions. Page 1 FRM PART I BOOK 2: QUANTITATIVE ANALysis...
As you begin with the first reading ( Fundamentals of Probability ), prioritize these high-yield concepts that GARP frequently tests: Sample moments, the Central Limit Theorem (CLT), and
The curriculum typically spans 13 to 15 readings, building from basic statistics to advanced predictive modeling: the Central Limit Theorem (CLT)
Stationary and non-stationary series (AR, MA, ARMA models) and simulation techniques like Monte Carlo and bootstrapping.