Exam P practice exam and study guide
Exam P practice problems: Continuous distributions
10 problems · Untimed · Worked solution after each answer
Densities and CDFs, the uniform, exponential, gamma, beta and normal distributions, percentiles, the median and mode, and conditional probabilities. This drill covers topic 2 of the Exam P syllabus, Univariate Random Variables (44–50% of the exam).
- 2a Random variables, densities and CDFs
- 2b Conditional probabilities
- 2c Expected values, moments, mode, median and percentiles
- 2d Variance, standard deviation and coefficient of variation

Before you start
- Every problem has five options, A to E, and one correct answer, as on the real exam. Every value you need is in the problem, so you can work it with an approved calculator; the worked solution shows each step and names the mistake behind the most tempting wrong answer.
- Check each answer to see the explanation before moving on. Checked answers cannot be changed.
Study guide: Continuous distributions
- A density must integrate to 1, which fixes an unknown constant; the CDF is the integral of the density from the lower end.
- The exponential is memoryless: P(T > s + t | T > s) = P(T > t), and its median is θ·ln 2, below its mean θ.
- A percentile solves F(x) = p; the mode maximizes the density.
- For a normal variable, standardize with z = (x − μ)/σ and round z to two decimals for the table SOA supplies.
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Original practice problems written to the published SOA syllabus; not SOA sample questions. Independent preparation, not affiliated with or endorsed by the Society of Actuaries (SOA).