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All Edexcel A-level Further Maths topic questions

Edexcel A-level Further Maths · Topic FS1-7

Probability generating functions questions

Practice questions covering probability generating functions from this specification. Attempt the questions below, then use the past-paper references to find more on Pearson's site.

Questions to attempt

6 questions on Probability generating functions, each with its mark scheme and worked method. Reveal the answer when you have had a go.

  1. FS1-7.1 · Definitions, derivations and applications. Use of the probability generating function for the negative binomial, geometric, binomial and Poisson distributions.

    Q1
    ORIGINAL
    Year 2
    Year 2: this is content the exam board adds beyond the AS subject content, for the full A-level.

    1.

    A geometric random variable XX has parameter p=0.4p=0.4 and counts the trial of the first success. Show that the probability generating function of XX is 0.4t1−0.6t\dfrac{0.4t}{1-0.6t} and hence find P(X=5)P(X=5).

    (5)

    (Total for Question 1 is 5 marks)

  2. FS1-7.1 · Definitions, derivations and applications. Use of the probability generating function for the negative binomial, geometric, binomial and Poisson distributions.

    Q2
    ORIGINAL
    Year 2
    Year 2: this is content the exam board adds beyond the AS subject content, for the full A-level.

    2.

    Given X∼Bin⁡(4,0.3)X\sim\operatorname{Bin}(4,0.3), write down GX(t)G_X(t) and use its coefficient of t2t^2 to find P(X=2)P(X=2).

    (3)

    (Total for Question 2 is 3 marks)

  3. FS1-7.2 · Use to find the mean and variance.

    Q3
    ORIGINAL
    Year 2
    Year 2: this is content the exam board adds beyond the AS subject content, for the full A-level.

    3.

    A random variable has PGF GX(t)=2t3−tG_X(t)=\dfrac{2t}{3-t}. Use the PGF to find its mean and variance.

    (5)

    (Total for Question 3 is 5 marks)

  4. FS1-7.2 · Use to find the mean and variance.

    Q4
    ORIGINAL
    Year 2
    Year 2: this is content the exam board adds beyond the AS subject content, for the full A-level.

    4.

    The PGF of XX is GX(t)=(0.8+0.2t)6G_X(t)=(0.8+0.2t)^6. Use derivatives of the PGF to find E(X)E(X) and Var⁡(X)\operatorname{Var}(X).

    (4)

    (Total for Question 4 is 4 marks)

  5. FS1-7.3 · Probability generating function of the sum of independent random variables.

    Q5
    ORIGINAL
    Year 2
    Year 2: this is content the exam board adds beyond the AS subject content, for the full A-level.

    5.

    Independent variables satisfy X∼Bin⁡(5,0.4)X\sim\operatorname{Bin}(5,0.4) and Y∼Bin⁡(7,0.4)Y\sim\operatorname{Bin}(7,0.4). Use PGFs to identify S=X+YS=X+Y and calculate P(S=3)P(S=3).

    (5)

    (Total for Question 5 is 5 marks)

  6. FS1-7.3 · Probability generating function of the sum of independent random variables.

    Q6
    ORIGINAL
    Year 2
    Year 2: this is content the exam board adds beyond the AS subject content, for the full A-level.

    6.

    Independent variables have distributions X∼Po⁡(1.4)X\sim\operatorname{Po}(1.4) and Y∼Po⁡(2.6)Y\sim\operatorname{Po}(2.6). Use PGFs to identify the distribution of X+YX+Y and find P(X+Y=0)P(X+Y=0).

    (4)

    (Total for Question 6 is 4 marks)

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Printable question pack — FS1-7 Probability generating functionsAll 30 questions across 3 specification points — 24 more than the 6 above — with the full mark scheme. Guest accessible · browser print.

FS1-7 Probability generating functions revision notes

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Find these in the real papers

7 past-paper references · 4 open at the question's page · newest series first

References open the specific Pearson question paper when it is available. Missing, login-only or unverified question-paper sources are labelled on the affected row. Question content remains on the exam board's website.

June 20241 question
June 20231 question
June 20221 question
June 20211 question
June 20201 question
June 20191 question
sample1 question

Reference rows contain series, paper, question number, marks and classification metadata only. Pearson's question papers open on Pearson's own website.

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