Discrete Random Variables: Question 8

Syllabus 5.4

Structured AS 8 marks

A multiple-choice quiz has 1212 questions, each with 55 possible answers of which exactly one is correct. A student who has not revised guesses the answer to every question at random, independently of every other question. Let XX be the number of questions the student answers correctly.

(a) State the values of nn and pp, and explain why XX can be modelled by a binomial distribution in this context. [2]

(b) Find P(X=4)P(X=4). [3]

(c) Find E(X)E(X) and Var(X)\mathrm{Var}(X). [3]

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Worked solution

Part (a): Identifying the binomial model

Each of the n=12n=12 questions is answered independently, and on each one the student guesses correctly with probability p=15=0.2p=\dfrac{1}{5}=0.2 (one correct answer out of 55 options), or incorrectly with probability 0.80.8.

This fits the binomial model because:

  • There is a fixed number of trials, n=12n=12 questions.
  • Each trial (question) has exactly two outcomes, correct or incorrect.
  • The probability of a correct guess is constant, p=0.2p=0.2, for every question.
  • The questions are independent, since one guess does not affect any other.

So XB(12,0.2)X\sim B(12,0.2).

Part (b): Finding P(X = 4)

Using P(X=r)=(nr)pr(1p)nrP(X=r)=\binom{n}{r}p^r(1-p)^{n-r} with n=12n=12, p=0.2p=0.2, r=4r=4: P(X=4)=(124)(0.2)4(0.8)8P(X=4)=\binom{12}{4}(0.2)^4(0.8)^{8}

Compute each piece: (124)=495,(0.2)4=0.0016,(0.8)80.16777\binom{12}{4}=495, \qquad (0.2)^4=0.0016, \qquad (0.8)^{8}\approx0.16777

Multiplying: P(X=4)=495×0.0016×0.167770.1329P(X=4)=495\times0.0016\times0.16777\approx0.1329

So P(X=4)0.133P(X=4)\approx\boxed{0.133} (to 3 significant figures).

Check by an alternative grouping: 495×0.0016=0.792495\times0.0016=0.792, and 0.792×0.167772160.132880.792\times0.16777216\approx0.13288, which rounds to the same 0.1330.133.

Part (c): Finding E(X) and Var(X)

For a binomial distribution, E(X)=npE(X)=np: E(X)=12×0.2=2.4E(X)=12\times0.2=2.4

And Var(X)=np(1p)\mathrm{Var}(X)=np(1-p): Var(X)=12×0.2×0.8=1.92\mathrm{Var}(X)=12\times0.2\times0.8=1.92

Check: 12×0.2=2.412\times0.2=2.4 and 2.4×0.8=1.922.4\times0.8=1.92, confirming both values.

Final answers

  • (a) n=12n=12, p=0.2p=0.2, so XB(12,0.2)X\sim\boxed{B(12,0.2)}.
  • (b) P(X=4)0.133P(X=4)\approx\boxed{0.133}
  • (c) E(X)=2.4E(X)=\boxed{2.4}, Var(X)=1.92\mathrm{Var}(X)=\boxed{1.92}