Discrete distributions

32 original Exam P questions on discrete distributions.

2 free worked examples

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  1. Exam PDiscrete distributionsCore
    A claims handler reviews 10 independent files, each incorrectly coded with probability 0.25. What is the probability exactly 3 are incorrectly coded?
    1. A0.01560.0156
    2. B0.18770.1877
    3. C0.25030.2503
    4. D0.28160.2816
    5. E0.75000.7500

    Solution

    1. Fixed number of independent trials with a constant success probability makes this binomial with n=10n=10, p=0.25p=0.25.
    2. P(X=3)=(103)(0.25)3(0.75)7P(X=3) = \binom{10}{3}(0.25)^{3}(0.75)^{7}.
    3. =120×0.015625×0.133484= 120 \times 0.015625 \times 0.133484.
    4. =0.2503= 0.2503.
  2. Exam PDiscrete distributionsExam level
    The number of claims filed by a policyholder takes values 0, 1, 2, 3 with probabilities 0.25, 0.35, 0.28 and 0.12. Find the mean.
    1. A0.93710.9371
    2. B1.00001.0000
    3. C1.27001.2700
    4. D1.50001.5000
    5. E2.55002.5500

    Solution

    1. E[X]=∑x p(x)E[X] = \sum x\,p(x) over the support.
    2. =0(0.25)+1(0.35)+2(0.28)+3(0.12)= 0(0.25) + 1(0.35) + 2(0.28) + 3(0.12).
    3. =0+0.35+0.56+0.36= 0 + 0.35 + 0.56 + 0.36.
    4. =1.27= 1.27 claims per policyholder per year.
    5. The mean is not one of the attainable values, which is normal: an expectation is a weighted centre of mass, not an outcome.
    6. It sits above 1 because the upper values, though less likely, pull the average up.

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