Exam-Style Problems

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9231 P42 - Nov 2025 - Q6 - 10 marks
6620

The discrete random variable \(X\) has probability generating function \(G_X(t)\) given by

\(G_X(t)=\frac{t}{(3-2t)^2}\).

(a) Find \(\mathrm{E}(X)\) and \(\operatorname{Var}(X)\).

The discrete random variable \(Y\) has probability generating function \(G_Y(t)\) given by

\(G_Y(t)=\frac{t^2}{(3-2t)^2}\).

The random variable \(Z\) is the sum of the random variables \(X\) and \(Y\).

(b) Assuming \(X\) and \(Y\) are independent, find \(\mathrm{P}(Z\gt 4)\).

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9231 P41 - Jun 2024 - Q4 - 7 marks
6663

The random variable \(Y\) is the sum of two independent observations of the random variable \(X\). The probability generating function \(\mathrm{G}_{Y}(t)\) of \(Y\) is given by
\(\mathrm{G}_{Y}(t)=\frac{t^{2}}{(4-3 t)^{4}}\)
(a) Find \(E(Y)\).

(b) Write down an expression for the probability generating function of \(X\).

(c) Find \(\mathrm{P}(X=4)\).

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9231 P43 - Jun 2024 - Q4 - 9 marks
6670

The random variable \(X\) has probability generating function \(\mathrm{G}_{X}(t)\) given by
\(\mathrm{G}_{X}(t)=\operatorname{ct}(1+t)^{5}\)
where \(c\) is a constant.
(a) Find the value of \(c\).

(b) Find the value of \(\mathrm{E}(X)\).

The random variable \(Y\) is the sum of two independent values of \(X\).
(c) Write down the probability generating function of \(Y\) and hence find \(\operatorname{Var}(Y)\).

(d) Find \(\mathrm{P}(Y=5)\).

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9231 P41 - Nov 2023 - Q5 - 10 marks
6689

The random variable \(X\) has the geometric distribution \(\operatorname{Geo}(p)\).
(a) Show that the probability generating function of \(X\) is \(\frac{p t}{1-q t}\), where \(q=1-p\).
(b) Use the probability generating function of \(X\) to show that \(\operatorname{Var}(X)=\frac{q}{p^{2}}\).

Kenny throws an ordinary fair 6-sided dice repeatedly. The random variable \(X\) is the number of throws that Kenny takes in order to obtain a 6 . The random variable \(Z\) denotes the sum of two independent values of \(X\).
(c) Find the probability generating function of \(Z\).

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9231 P42 - Nov 2023 - Q3 - 10 marks
6699

Toby has a bag which contains 6 red marbles and 3 green marbles. He randomly chooses 3 marbles from the bag, without replacement. The random variable \(X\) is the number of red marbles that Toby obtains.
(a) Find the probability generating function of \(X\).

Ling also has a bag which contains 6 red marbles and 3 green marbles. He randomly chooses 2 marbles from his bag, without replacement. The random variable \(Y\) is the number of red marbles that Ling obtains. It is given that the probability generating function of \(Y\) is \(\frac{1}{12}\left(1+6 t+5 t^{2}\right)\).

The random variable \(Z\) is the total number of red marbles that Toby and Ling obtain.
(b) Find the probability generating function of \(Z\), expressing your answer as a polynomial in \(t\).
(c) Use the probability generating function of \(Z\) to find \(\operatorname{Var}(Z)\).

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9231 P41 - Jun 2022 - Q2 - 7 marks
6703

The probability generating function, \(\mathrm{G}_{Y}(t)\), of the random variable \(Y\) is given by
\(\mathrm{G}_{Y}(t)=0.04+0.2 t+0.37 t^{2}+0.3 t^{3}+0.09 t^{4}\)
(a) Find \(\operatorname{Var}(Y)\).

The random variable \(Y\) is the sum of two independent observations of the random variable \(X\).
(b) Find the probability generating function of \(X\), giving your answer as a polynomial in \(t\).

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9231 P43 - Jun 2022 - Q3 - 8 marks
6775

George throws two coins, \(A\) and \(B\), at the same time. Coin \(A\) is biased so that the probability of obtaining a head is \(a\). Coin \(B\) is biased so that the probability of obtaining a head is \(b\), where \(b\lt a\). The probability generating function of \(X\), the number of heads obtained by George, is \(\mathrm{G}_{X}(t)\). The coefficients of \(t\) and \(t^{2}\) in \(\mathrm{G}_{X}(t)\) are \(\frac{5}{12}\) and \(\frac{1}{12}\) respectively.
(a) Find the value of \(a\).

The random variable \(Y\) is the sum of two independent observations of \(X\).
(b) Find the probability generating function of \(Y\), giving your answer as a polynomial in \(t\).

(c) Find \(\operatorname{Var}(Y)\).

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9231 P42 - Nov 2022 - Q5 - 9 marks
6789

A 6-sided dice, \(A\), with faces numbered 1, 2, 3, 4, 5, 6 is biased so that the probability of throwing a 6 is \(\frac14\). The random variable \(X\) is the number of 6s obtained when dice \(A\) is thrown twice.

(a) Find the probability generating function of \(X\).

A second dice, \(B\), with faces numbered 1, 2, 3, 4, 5, 6 is unbiased. The random variable \(Y\) is the number of 6s obtained when dice \(B\) is thrown twice.

The random variable \(Z\) is the total number of 6s obtained when both dice are thrown twice.

(b) Find the probability generating function of \(Z\), expressing your answer as a polynomial.

(c) Find \(\operatorname{Var}(Z)\).

(d) Use the probability generating function of \(Z\) to find the most probable value of \(Z\).

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9231 P43 - Jun 2020 - Q4 - 8 marks
6824

The discrete random variable \(X\) has probability generating function \(\mathrm{G}_{X}(t)\) given by
\(\mathrm{G}_{X}(t)=0.2 t+0.5 t^{2}+0.3 t^{3} .\)

The random variable \(Y\) is the sum of two independent observations of \(X\).
(a) Find the probability generating function of \(Y\), giving your answer as an expanded polynomial in \(t\).
(b) Use the probability generating function of \(Y\) to find \(\mathrm{E}(Y)\) and \(\operatorname{Var}(Y)\).

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