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Join the SOA Exam P Masterclass and prepare with confidence.
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5 Learner Rating
Exam P (Probability) is the foundational step in the SOA credentialing pathway and requires a strong command of probability concepts to succeed. This exam-prep focused program emphasizes mastery of core topics such as random variables, probability distributions, conditional probability, expectation, and variance. Through structured practice and application, candidates build the analytical and problem-solving skills necessary not only to pass Exam P with confidence, but also to establish the quantitative foundation required for subsequent SOA exams.
Insurance
Actuarial
Not Exist
Lecture
Exercises and assignments
Pre Assessment
Simulation Test for professional exam
University students
Candidates for Exam P
University students
Candidates for Exam P
This provides you with the opportunity to select the available times that suit you best for participation in our program. These times represent slots during which we are ready to welcome you and provide assistance and guidance.
Online Training
Overview/Introduction to Program
Kolmogorov Axioms
Complements, DeMorgan's Laws
Independent and Mutually Exclusive Events
Venn Diagrams and Inclusion-Exclusion Principle
Online Training
Combinatorial Probability
Conditional Probability
Bayes’ Theorem and Law of Total Probability
Online Training
Distribution Functions and Density/Mass Functions
Moments and Variance
Properties of Expectation
Percentiles
Online Training
Discrete Random Variables
Conditional Expectation and Law of Total Expectation
Online Training
Normal Distributions
Exponential Distributions
Continuous Uniform Distributions
Generalizations/Transformations: Lognormal, Gamma, Beta
Online Training
Vocabulary for Insurance in Exam P
Useful Techniques for Insurance Problems in Exam P
Online Training
Joint Distributions
Relationships between Joint, Marginal, and Conditional Distributions
Covariance and Correlation: Definitions and Shortcuts
Properties of Covariance
Online Training
Central Limit Theorem: Formulations and Examples with Continuous RVs
Central Limit Theorem: Continuity Correction and Distribution-Specific Approximations
Order Statistics
Online Training
Partial Practice Exam
Exam Tips and Strategies
Demonstrate strong mastery of the probability concepts tested on SOA Exam P, including random variables, probability distributions, conditional probability, expectation, and variance.
Apply calculus-based techniques, such as differentiation and integration, to solve quantitative probability problems aligned with the exam syllabus.
Analyze and model risk using the fundamental probability tools required for Exam P.
Solve exam-style problems efficiently and accurately under time constraints.
Develop the technical confidence and problem-solving discipline necessary to successfully pass SOA Exam P.
