Exam P technique guide

Conditional Probability practice problems

Learn how to recognize the method, recall the formulas that control it, and work through 103 sample-question solutions.

Try this original problem before opening the solution. Then compare the method with SOA Exam P sample question 6.

Original practice · fully worked

Original variant: infer a segment rate from the portfolio average

Forty percent of a portfolio consists of newly issued contracts, whose event rate is 0.12. The remaining contracts are seasoned. The whole portfolio has event rate 0.18. Determine the event rate among seasoned contracts.

  1. A
    0.120
  2. B
    0.180
  3. C
    0.220
  4. D
    0.240
  5. E
    0.300
Show the answer and worked solution

Answer and calculation

The portfolio rate is a two-segment weighted average. Solving 0.18=0.40(0.12)+0.60s gives s=0.22, choice C.

Setup

Setup

Let s be the event rate among seasoned contracts; the new and seasoned portfolio shares are 0.40 and 0.60.

s=Pr⁡(E∣seasoned)s=\Pr(E\mid\text{seasoned})

Model

Model

Express the overall event rate as the weighted average of the two segment-specific rates.

0.18=0.40(0.12)+0.60s0.18=0.40(0.12)+0.60s

Compute

Compute

The new-contract contribution is 0.40(0.12)=0.048, leaving 0.132 for seasoned contracts; division by 0.60 gives s=0.22.

0.132=0.60s,s=0.220.132=0.60s,\qquad s=0.22

Answer

Answer

The seasoned-contract event rate is 0.220, so the correct answer is choice C.

0.22(C)\boxed{0.22\quad\text{(C)}}

Technique orientation

What conditional probability questions are testing

Conditional probability problems become manageable once the condition is treated as a new sample space rather than as an extra number to insert at the end. The decisive move is to name the target event and the conditioning event separately, then calculate both the joint numerator and the conditioning denominator under one consistent model.

On Exam P, conditioning appears in contingency tables, mixtures, diagnostic tests, survival events, and multistage experiments. The surface story changes, but the same audit works: identify what is known, restrict every probability to that information, and check that the resulting conditional probabilities sum to one where they should.

Recognition audit

Signals that this is the right method

  1. The question says “given,” “among,” “of those,” or otherwise restricts attention to a known subgroup.
  2. A probability must be updated after observing a test result, category, threshold, or earlier-stage outcome.
  3. The data are supplied by rows or branches and the requested direction reverses the direction in which the rates were given.
  4. Several latent cases can produce the observed event, so the denominator must combine those cases before Bayes’ theorem is applied.

Before calculation

A disciplined first pass

Name the requested quantity, mark its units or time point, and identify the assumption that permits the formula. Only then insert the numerical inputs. This separates model errors from arithmetic errors and makes the answer-choice comparison auditable.

Formula core

Conditional Probability formulas to know

These identities are starting points, not substitutes for checking support, timing, rate periods, or independence assumptions.

Conditional probability

P(A∣B)=P(A∩B)P(B),P(B)>0P(A\mid B)=\frac{P(A\cap B)}{P(B)},\qquad P(B)>0

Both numerator and denominator are measured inside the same original probability model.

Law of total probability

P(A)=∑j=1mP(A∣Bj)P(Bj)P(A)=\sum_{j=1}^{m}P(A\mid B_j)P(B_j)

Use a genuine partition: the cases are disjoint and together exhaust the sample space.

Bayes’ theorem

P(Bk∣A)=P(A∣Bk)P(Bk)∑j=1mP(A∣Bj)P(Bj)P(B_k\mid A)=\frac{P(A\mid B_k)P(B_k)}{\sum_{j=1}^{m}P(A\mid B_j)P(B_j)}

The denominator is the total probability of the observed evidence, not merely the most likely branch.

Three failure modes to catch

  • Dividing by the target probability instead of the probability of the stated condition.
  • Replacing an intersection by a product before independence has been established.
  • Taking a complement in the original population when the required complement is inside the conditioned subgroup.

Verified practice ledger

Exam P conditional probability problems and solutions

The list is grouped by current official syllabus area. Every link opens a step-labeled solution, verification artifact, distractor analysis, and one fully worked original variant.

General Probability

65 verified references

  1. SOA Exam P Sample Question #6Conditional ProbabilityVerified
  2. SOA Exam P Sample Question #9Conditional ProbabilityVerified
  3. SOA Exam P Sample Question #12Conditional ProbabilityVerified
  4. SOA Exam P Sample Question #81Conditional ProbabilityVerified
  5. SOA Exam P Sample Question #132Conditional ProbabilityVerified
  6. SOA Exam P Sample Question #133Bayes' TheoremVerified
  7. SOA Exam P Sample Question #135Conditional ProbabilityVerified
  8. SOA Exam P Sample Question #150Conditional ProbabilityVerified
  9. SOA Exam P Sample Question #151Conditional ProbabilityVerified
  10. SOA Exam P Sample Question #154Law of Total ProbabilityVerified
  11. SOA Exam P Sample Question #186Conditional ProbabilityVerified
  12. SOA Exam P Sample Question #194Conditional ProbabilityVerified
  13. SOA Exam P Sample Question #195Conditional ProbabilityVerified
  14. SOA Exam P Sample Question #198Conditional ProbabilityVerified
  15. SOA Exam P Sample Question #199Conditional ProbabilityVerified
  16. SOA Exam P Sample Question #211Geometric DistributionVerified
  17. SOA Exam P Sample Question #259Conditional ProbabilityVerified
  18. SOA Exam P Sample Question #263IndependenceVerified
  19. SOA Exam P Sample Question #264Bayes' TheoremVerified
  20. SOA Exam P Sample Question #265Law of Total ProbabilityVerified
  21. SOA Exam P Sample Question #274Conditional ProbabilityVerified
  22. SOA Exam P Sample Question #288Conditional ProbabilityVerified
  23. SOA Exam P Sample Question #309Bayes' TheoremVerified
  24. SOA Exam P Sample Question #312Conditional ProbabilityVerified
  25. SOA Exam P Sample Question #316Bayes' TheoremVerified
  26. SOA Exam P Sample Question #318Bayes' TheoremVerified
  27. SOA Exam P Sample Question #329Bayes' TheoremVerified
  28. SOA Exam P Sample Question #334Bayes' TheoremVerified
  29. SOA Exam P Sample Question #349Law of Total ProbabilityVerified
  30. SOA Exam P Sample Question #354Conditional ProbabilityVerified
  31. SOA Exam P Sample Question #363Law of Total ProbabilityVerified
  32. SOA Exam P Sample Question #365Conditional ProbabilityVerified
  33. SOA Exam P Sample Question #368Inclusion–ExclusionVerified
  34. SOA Exam P Sample Question #370Law of Total ProbabilityVerified
  35. SOA Exam P Sample Question #377Conditional ProbabilityVerified
  36. SOA Exam P Sample Question #387Conditional ProbabilityVerified
  37. SOA Exam P Sample Question #398Bayes TheoremVerified
  38. SOA Exam P Sample Question #408Conditional ProbabilityVerified
  39. SOA Exam P Sample Question #418Conditional ProbabilityVerified
  40. SOA Exam P Sample Question #423Conditional ProbabilityVerified
  41. SOA Exam P Sample Question #455Conditional ProbabilityVerified
  42. SOA Exam P Sample Question #460Conditional ProbabilityVerified
  43. SOA Exam P Sample Question #468Conditional ProbabilityVerified
  44. SOA Exam P Sample Question #487Conditional ProbabilityVerified
  45. SOA Exam P Sample Question #490Conditional ProbabilityVerified
  46. SOA Exam P Sample Question #493Conditional ProbabilityVerified
  47. SOA Exam P Sample Question #498Conditional ProbabilityVerified
  48. SOA Exam P Sample Question #501Conditional ProbabilityVerified
  49. SOA Exam P Sample Question #506Conditional ProbabilityVerified
  50. SOA Exam P Sample Question #528Conditional ProbabilityVerified
  51. SOA Exam P Sample Question #532Conditional ProbabilityVerified
  52. SOA Exam P Sample Question #533Conditional ProbabilityVerified
  53. SOA Exam P Sample Question #537Conditional ProbabilityVerified
  54. SOA Exam P Sample Question #540Bayes TheoremVerified
  55. SOA Exam P Sample Question #544Conditional ProbabilityVerified
  56. SOA Exam P Sample Question #640Conditional ProbabilityVerified
  57. SOA Exam P Sample Question #641Conditional ProbabilityVerified
  58. SOA Exam P Sample Question #644Conditional ProbabilityVerified
  59. SOA Exam P Sample Question #645Conditional ProbabilityVerified
  60. SOA Exam P Sample Question #658Conditional ProbabilityVerified
  61. SOA Exam P Sample Question #663Conditional ProbabilityVerified
  62. SOA Exam P Sample Question #682Conditional ProbabilityVerified
  63. SOA Exam P Sample Question #683Conditional ProbabilityVerified
  64. SOA Exam P Sample Question #685Conditional ProbabilityVerified
  65. SOA Exam P Sample Question #733Conditional ProbabilityVerified

Univariate Random Variables

37 verified references

  1. SOA Exam P Sample Question #23Conditional ProbabilityVerified
  2. SOA Exam P Sample Question #32Conditional ProbabilityVerified
  3. SOA Exam P Sample Question #34Conditional ProbabilityVerified
  4. SOA Exam P Sample Question #36Conditional ProbabilityVerified
  5. SOA Exam P Sample Question #146Negative Binomial DistributionVerified
  6. SOA Exam P Sample Question #180Normal DistributionVerified
  7. SOA Exam P Sample Question #209Conditional ProbabilityVerified
  8. SOA Exam P Sample Question #212Geometric DistributionVerified
  9. SOA Exam P Sample Question #213Binomial DistributionVerified
  10. SOA Exam P Sample Question #222Normal DistributionVerified
  11. SOA Exam P Sample Question #256Exponential DistributionVerified
  12. SOA Exam P Sample Question #267Exponential DistributionVerified
  13. SOA Exam P Sample Question #340Continuous Random VariablesVerified
  14. SOA Exam P Sample Question #353Survival FunctionsVerified
  15. SOA Exam P Sample Question #364Exponential DistributionVerified
  16. SOA Exam P Sample Question #375Survival FunctionsVerified
  17. SOA Exam P Sample Question #381Exponential DistributionVerified
  18. SOA Exam P Sample Question #419Uniform DistributionVerified
  19. SOA Exam P Sample Question #426Continuous Random VariablesVerified
  20. SOA Exam P Sample Question #436Exponential DistributionVerified
  21. SOA Exam P Sample Question #454Uniform DistributionVerified
  22. SOA Exam P Sample Question #461Poisson DistributionVerified
  23. SOA Exam P Sample Question #462Geometric DistributionVerified
  24. SOA Exam P Sample Question #477Continuous DistributionsVerified
  25. SOA Exam P Sample Question #499Poisson DistributionVerified
  26. SOA Exam P Sample Question #562Uniform DistributionVerified
  27. SOA Exam P Sample Question #566Poisson DistributionVerified
  28. SOA Exam P Sample Question #576Uniform DistributionVerified
  29. SOA Exam P Sample Question #579Conditional ProbabilityVerified
  30. SOA Exam P Sample Question #583Uniform DistributionVerified
  31. SOA Exam P Sample Question #585Continuous DistributionsVerified
  32. SOA Exam P Sample Question #618Uniform DistributionVerified
  33. SOA Exam P Sample Question #625Poisson DistributionVerified
  34. SOA Exam P Sample Question #661Discrete Random VariablesVerified
  35. SOA Exam P Sample Question #695Poisson DistributionVerified
  36. SOA Exam P Sample Question #711Exponential DistributionVerified
  37. SOA Exam P Sample Question #729Discrete Random VariablesVerified

Multivariate Random Variables

1 verified reference

  1. SOA Exam P Sample Question #476Joint DistributionsVerified

Continue the study loop

Keep every worked reference in one searchable manual

The complete Exam P manual includes all active sample-reference solutions, their wrong-choice analysis, and one independently written worked variant per reference. The free formula sheet is the compact companion for recall between practice sessions.

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Independence

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Uniform Distribution

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