SOA Exam P Guide
Exam P is the SOA probability exam: a 3-hour, 30-question, multiple-choice CBT exam covering general probability, univariate random variables, and multivariate random variables.
- Role
- Exam Guide
- Level
- Core
- Time
- Reference
- Freshness
- Stable
What Exam P Entails
- Probability theory, random variables, and distributions applied to actuarial risk.
- Calculus fluency, especially integration, differentiation, and series where probability calculations require them.
- Core practice: conditioning correctly, identifying distributions, computing expectations, and handling multivariate probability.
SOA Exam P
Official syllabus facts are mapped; sample questions are available for topic tagging only.
What the official PDFs establish
- Purpose
- Fundamental probability tools for quantitatively assessing risk, with actuarial applications emphasized.
- Scoring note
- Unanswered questions are scored incorrect; candidates should answer every question.
Topic and domain coverage
| Topic | Weight | Source |
|---|---|---|
| General Probability | 23-30% | Source: Exam P syllabus, p. 2 |
| Univariate Random Variables | 44-50% | Source: Exam P syllabus, p. 3 |
| Multivariate Random Variables | 23-30% | Source: Exam P syllabus, p. 4 |
Chapter and reading intelligence
- Risk and insurance background
Use the SOA risk and insurance note for insurance-context vocabulary and examples, not as a substitute for probability practice.
Source: Risk and Insurance
Official files used by the map
- Official syllabussyllabus
Primary source for format, assumptions, topic weights, and learning outcomes.
Source: Exam P - July 2026 Syllabus - Sample questionssample-questions
Use internally for coverage tagging and practice-pattern planning; do not republish questions.
Source: Exam P Sample Questions
Quick Facts
The July 2026 SOA syllabus describes Exam P as a three-hour, 30-question, multiple-choice, computer-based exam. The largest topic block is univariate random variables, weighted at 44-50%.
- General probability: 23-30%.
- Univariate random variables: 44-50%.
- Multivariate random variables: 23-30%.
What To Study First
Start with problem types, not formula memorization. The highest-return loop is conditional probability, expected value, distribution recognition, insurance payment transformations, joint distributions, and normal approximation.
Statistics And ML Connection
Exam P is also the probability foundation behind classification, count models, expected loss, simulation, calibration, survival models, and uncertainty quantification.