Exam P study index

Probability techniques, formulas, and verified practice

8 focused guides connect recognition, formulas, failure modes, and verification-gated worked solutions.

How to use this index

Move from recognition to execution

Distribution names and probability identities recur across syllabus sections. These technique collections bring together questions that use the same decisive method even when their official syllabus labels differ.

Use a collection after learning the underlying topic: read the recognition rules, reproduce the core formulas from memory, then solve references in number order without looking at the worked steps until your setup is complete.

Curated collections

Choose the technique you need to drill

Every collection contains original orientation, formula checks, and only problems whose public records have passed the verification gate.

103 verified problems

Conditional Probability

Conditioning, total probability, and Bayes calculations organized around the denominator that defines the updated sample space.

83 verified problems

Exponential Distribution

Waiting-time probabilities, parameter conversions, memorylessness, moments, and insurance-payment applications.

71 verified problems

Poisson Distribution

Count probabilities, rate scaling, aggregation, thinning, and links between Poisson counts and waiting times.

62 verified problems

Normal Distribution

Standardization, inverse percentiles, linear combinations, normal approximations, and tail control.

57 verified problems

Variance

Second moments, transformations, sums, covariance terms, and conditional variance decompositions.

55 verified problems

Independence

Event independence, factorization, independent trials, and the consequences independence does—and does not—justify.

50 verified problems

Uniform Distribution

Continuous and discrete uniform models, interval geometry, transformations, order statistics, and moments.

46 verified problems

Expected Value

Discrete sums, continuous integrals, functions of loss, linearity, conditioning, and tail-based expectation.

Keep the full set together

Study the method, then work the complete reference set

The free collections are designed for focused review. The complete Exam P manual keeps every active reference solution, distractor analysis, and original worked variant in one searchable PDF.