The Exam P syllabus: three topics and their weights
Exam P has three topics. Univariate random variables is almost half the exam, so that is where most study time belongs.
General Probability
23–30% of the exam
Univariate Random Variables
44–50% of the exam
Multivariate Random Variables
23–30% of the exam
General Probability
Sets, Venn diagrams, sample spaces and the axioms of probability
Counting with combinations and permutations
Independence, mutually exclusive events, addition and multiplication rules
Conditional probability, Bayes' theorem and the law of total probability
Univariate Random Variables
Discrete distributions: binomial, geometric, hypergeometric, negative binomial, Poisson and uniform
Continuous distributions: beta, exponential, gamma, normal and uniform
Expected value, moments, mode, median, percentiles, variance and coefficient of variation
Insurance payments with deductibles, coinsurance, benefit limits and inflation
Multivariate Random Variables
Joint, marginal and conditional distributions for discrete random variables
Covariance and correlation
Linear combinations of independent random variables, including normal ones
The central limit theorem and order statistics
The format
30 multiple-choice questions in 3 hours, each with five choices. A few are unscored pilot questions you cannot tell apart. An unanswered question counts as wrong, so answer every one. A normal distribution table is provided on screen.
Try 3 questions
Question 1
An insurer classifies its drivers as standard (60%), preferred (30%) or high risk (10%). The probability that a driver has an accident during the year is 0.05 for standard, 0.02 for preferred and 0.15 for high risk. A randomly chosen driver has an accident during the year.
Calculate the probability that the driver is high risk.
Question 2
The loss from a theft is exponential with mean $1,000. The policy has a deductible of $250.
Calculate the expected payment by the insurer per loss.
Question 3
An insurer has a portfolio of claims. Each of 100 independent claims has mean 250 and standard deviation 80 dollars.
Using the normal approximation, calculate the probability that the total of the 100 claims exceeds 26,000.