Exam P – Probability
3 个单元 · 22 个章节
免费 Exam P – Probability 学习笔记，适合 SOA (Society of Actuaries) 学生。每个章节都覆盖一个重点主题，并附例题与可延伸到 thinka app 的练习提示。
General Probability
Set functions, sample spaces, events, and axioms of probability
Combinatorial probability: combinations and permutations
Independence and probabilities of independent events
Mutually exclusive events
Addition and multiplication rules
Conditional probability
Bayes' Theorem and the law of total probability
Univariate Random Variables
Random variables, probability density functions, and cumulative distribution functions
Conditional probabilities for random variables
Expected values: moments, mode, median, and percentiles
Variance, standard deviation, and coefficient of variation
Insurance payments: deductibles, coinsurance, benefit limits, and inflation
Moments of the loss and payment amount random variables
Multivariate Random Variables
Joint probability and cumulative distribution functions (discrete)
Conditional and marginal probability functions (discrete)
Moments for joint, conditional, and marginal distributions
Variance and standard deviation for conditional and marginal distributions
Covariance and the correlation coefficient
Joint distribution of order statistics
Probabilities for linear combinations of random variables
Moments for linear combinations of random variables
The Central Limit Theorem
看完笔记了？现在就用 AI 题目测一测自己。
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