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Probability generating functionsEdexcel A-Level Further Maths: Subtopic test

10 questions, 27 marks

Edexcel A-Level Further Maths

Probability generating functions

Total 27 marks

Name

Class

Date

  1. 1
    The discrete random variable XX has P(X=0)=0.2\mathrm{P}(X=0)=0.2, P(X=1)=0.5\mathrm{P}(X=1)=0.5 and P(X=2)=0.3\mathrm{P}(X=2)=0.3. The probability generating function of XX is GX(t)\mathrm{G}_X(t).
    (a)
    Find GX(t)\mathrm{G}_X(t).
    [1 mark]
    • A0.3+0.5t+0.2t20.3+0.5t+0.2t^2
    • B0.5t+0.6t20.5t+0.6t^2
    • C0.2+0.5t+0.3t20.2+0.5t+0.3t^2
    • D0.2t+0.5t2+0.3t30.2t+0.5t^2+0.3t^3
    (b)
    Use GX(t)\mathrm{G}_X(t) to find E(X)\mathrm{E}(X).
    [1 mark]
    • A1.11.1
    • B1.71.7
    • C0.60.6
    • D11
    (c)
    Use GX(t)\mathrm{G}_X(t) to find Var(X)\mathrm{Var}(X).
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    The random variable XX has a geometric distribution with parameter p=14p=\frac14, so XX is the number of trials up to and including the first success, with P(X=r)=qr−1p\mathrm{P}(X=r)=q^{r-1}p for r=1,2,3,…r=1,2,3,\ldots and q=1−pq=1-p.
    (a)
    Find GX(t)\mathrm{G}_X(t).
    [1 mark]
    • A3t4−t\dfrac{3t}{4-t}
    • Bt4+3t\dfrac{t}{4+3t}
    • C14−3t\dfrac{1}{4-3t}
    • Dt4−3t\dfrac{t}{4-3t}
    (b)
    Use GX(t)\mathrm{G}_X(t) to find E(X)\mathrm{E}(X).
    [1 mark]
    • A14\frac14
    • B44
    • C1212
    • D34\frac34
    (c)
    Given that GX′(t)=4(4−3t)2\mathrm{G}_X'(t)=\dfrac{4}{(4-3t)^2}, find GX′′(1)\mathrm{G}_X''(1) and hence show that Var(X)=12\mathrm{Var}(X)=12.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    The random variable XX has distribution B(3,0.4)\mathrm{B}(3,0.4) and the random variable YY has distribution Po(2)\mathrm{Po}(2). The variables XX and YY are independent and Z=X+YZ=X+Y.
    (a)
    Show, from the definition of a probability generating function, that GX(t)=(0.6+0.4t)3\mathrm{G}_X(t)=(0.6+0.4t)^3.
    [3 marks]
    (b)
    The probability generating function of YY is GY(t)=e2(t−1)\mathrm{G}_Y(t)=\mathrm{e}^{2(t-1)}. Find the probability generating function of ZZ, and hence find E(Z)\mathrm{E}(Z).
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    A biased coin shows heads with probability p=0.2p=0.2 and tails with probability q=0.8q=0.8. The coin is tossed repeatedly. The random variable XX is the number of tosses up to and including the first head, with GX(t)\mathrm{G}_X(t) its probability generating function.
    (a)
    Show, from the definition, that GX(t)=pt1−qt\mathrm{G}_X(t)=\dfrac{pt}{1-qt}, stating the condition on tt for the series to converge. Hence prove that E(X)=1p\mathrm{E}(X)=\dfrac1p.
    [6 marks]
    (b)
    The random variable NN is the number of tosses up to and including the third head. Find the probability generating function of NN, and use GX′(1)=5\mathrm{G}_X'(1)=5 and GX′′(1)=40\mathrm{G}_X''(1)=40 to find E(N)\mathrm{E}(N) and Var(N)\mathrm{Var}(N).
    [6 marks]

    Total for question 4: 12 marks

End of questions

Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).