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CAS Exam 1Probability (P)

Preliminary
3 hours·30 multiple-choice·300 study hours
Score 0/0 · 9 MC
  1. Exam 1 · Q1
    Multiple choice
    Multivariate distributions

    The joint density of XX and YY is f(x,y)=2f(x,y)=2 for 0<x<y<10<x<y<1 and zero otherwise. Calculate E[X]E[X].

  2. Exam 1 · Q2
    Multiple choice
    Multivariate distributions

    The joint density of XX and YY is f(x,y)=x+yf(x,y)=x+y for 0<x<1,0<y<10<x<1,\,0<y<1. Calculate Cov(X,Y)\operatorname{Cov}(X,Y).

  3. Exam 1 · Q3
    Written answer
    Multivariate distributions

    Let XX and YY be independent Exponential(θ\theta) random variables (same θ\theta). Let R=X/(X+Y)R=X/(X+Y). Derive the distribution of RR and interpret the result in terms of how loss dollars split between two independent, identically distributed claimants sharing a fixed total.

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