A Level Mathematics 9709 Paper 62, May/June 2026

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Question paper

9709/62 · May/June 2026

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1

Ten random values of a variable X are given below.

8.18.39.510.17.98.79.18.89.49.0

Calculate unbiased estimates of the population mean and variance of X.

[3]
2

Each week, Birgitte takes three train journeys. The times, in minutes, for these journeys have the independent distributions A∼N(28,15), B∼N(23,8) and C∼N(99,24). For a randomly chosen week, find P(C>2(A+B)).

[5]
3

The number of vehicles, X, passing a certain junction between 1.00 pm and 1.01 pm is modelled by a Poisson distribution. In the past, the population mean of X was 2.4. After a change is made to the junction, the value of X is noted on a randomly chosen day. A hypothesis test at the 5% significance level is carried out to determine whether the population mean of X has increased.

a

State suitable null and alternative hypotheses for the test.

[1]
b

Find the smallest value of X that would result in rejecting the null hypothesis.

[4]
c

State the value of P(Type I error).

[1]
4

The random variables D and E have the independent distributions D∼Po(1.7) and E∼Po(2.1).

a

Find P(D+E<4).

[3]
b

Given that D+E<4, find P(D=1).

[3]
c

The random variable T is the total of 100 randomly chosen values of D. Use the normal approximation to the Poisson distribution to find P(T>190).

[4]
5

Eric throws darts at a target. The probability that he will hit the centre of the target on one throw is p.

a

Eric takes 100 throws and hits the centre x times. He uses this result to find an approximate 95% confidence interval for p. The width of this interval is 0.165 correct to 3 significant figures. Find the two possible values of x.

[4]
b

Eric takes some more throws. He uses his results to calculate two approximate α% confidence intervals for p (where α>90). It is given that the probability that exactly one of these two intervals contains the true value of p is 0.1128. Find the value of α.

[3]
6

The length of time, T minutes, that customers spend in a certain shop has the distribution N(μ,9.2). Last year the value of μ was 12.4. The manager of the shop wants to test whether the value of μ has decreased this year. She chooses a random sample of 75 customers and finds that the sample mean, T‾, for these customers is 11.9.

a

Test at the 5% significance level whether the value of μ is less than 12.4.

[5]
b

Explain whether it was necessary to use the Central Limit Theorem in your answer to 6(a).

[1]
c

Later the manager chooses another large random sample of n customers. She finds that, for these customers, T‾=11.8. She carries out a similar test at the 5% significance level, and the conclusion is that there is evidence that the value of μ is less than 12.4. Find the range of possible values of n.

[3]
7

A random variable X has the probability density function f(x)={a−x0⩽x⩽a,0otherwise, where a is a constant.

a

Show that E(X)=k2, where k is a constant to be found.

[6]
b

Find the exact value of the median of X.

[4]

Mark scheme

9709/62 · May/June 2026

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1 · 3 marks

  • B1

    Est(μ)=[88.910]=889100=8.89

  • M1

    Est(σ2)=109(794.4710−’8.89’2) or 19(794.47−88.92/10)

  • A1

    =0.461

2 · 5 marks

  • B1

    C−2(A+B)∼N(−3,… )

  • M1

    Var(C−2(A+B))=24+4(15+8)[=116]

  • M1

    0−(−3)’116’[=0.27854… ]

  • M1

    1−Φ(’0.27854’)=1−(0.6096 to 0.6099)

  • A1

    =0.390 (3 sf)

3a · 1 mark

  • B1

    H0:Population mean=2.4H1:Population mean>2.4

3b · 4 marks

  • M1

    P(X⩾a∣X∼Po(2.4)) attempted, where a is any integer 3 or more (or P(X⩽b) attempted where b is any integer 2 or more)

  • M1

    P(X⩾5 or 6∣X∼Po(2.4)) attempted (or P(X⩽4 or 5) attempted)

  • A1

    [P(X⩾6)]=0.0357 (or [P(X⩽5)]=0.9643)

  • B1

    Smallest value is 6

3c · 1 mark

  • B1

    0.0357 (3 s.f.) Accept 0.036 (2 s.f.)

4a · 3 marks

  • B1

    [D+E∼Po](3.8)

  • M1

    P(D+E<4)=e−3.8(1+3.8+3.822!+3.833!)=e−3.8(1+3.8+7.22+9.1453)=0.02237+0.08501+0.1615+0.2046

  • A1

    [=0.47348]=0.473 (3 sf) accept 0.474

4b · 3 marks

  • M1

    P(D=1)×P(E=0,1,2)=e−1.7×1.7×e−2.1(1+2.1+2.122)=0.03803+0.079864+0.083856 [=0.20175]

  • M1

    P(D=1)×P(E=0,1,2)P(D+E<4)=e−1.7×1.7×e−2.1(1+2.1+2.122)Their 0.47348[=0.201750.47348]

  • A1

    =0.426 (3 sf) accept 0.427

4c · 4 marks

  • B1

    T∼N(170,170)

  • M1

    190.5−170170[=1.572]

  • M1

    1−Φ(’1.572’)

  • A1

    =0.0580 Allow 0.058 Allow 0.0579

5a · 4 marks

  • M1

    2×1.96×x(100−x)1003=0.165 or in terms of p(or x100)

  • B1

    1.96 seen

  • M1

    x2−100x+1771.72=0 or p2−p+0.177172=0

  • A1

    =77 or 23

5b · 3 marks

  • M1

    2×y(1−y)=0.1128

  • M1

    y2−y+0.0564=0[y=0.94 [or 0.06]]

  • A1

    α=94

6a · 5 marks

  • B1

    H0:μ=12.4H1:μ<12.4

  • M1

    11.9−12.49.275

  • A1

    =−1.428 or −1.427OR 0.0767 or 0.0768 or 0.0766 (3sf)

  • M1

    −1.428>−1.645 or 1.428<1.645 or 0.0767>0.05

  • A1

    Insufficient evidence to suggest that the (mean) time (spent by customers) has decreased / Insufficient evidence to suggest that μ<12.4 [Do not reject H0]

6b · 1 mark

  • B1

    No because population normal

6c · 3 marks

  • M1

    11.8−12.49.2n<−1.645

  • M1

    n>1.645÷0.6×9.2 or n>1.6452÷0.62×9.2

  • A1

    [n>69.2]n⩾70

7a · 6 marks

  • M1

    Area=12×a×a or ∫0a(a−x) dx

  • M1

    '12a2' =1

  • A1

    a=2

  • M1

    E(X)=∫02(2x−x2) dx

  • A1

    =[2x22−x33]02

  • A1

    [=2−232]=132

7b · 4 marks

  • M1

    12×(2−m)×(2−m)=12 or ∫0m(2−x) dx=12 or ∫m2(2−x) dx=12 Or in terms of a ∫(a−x) dx limits 0 and m

  • A1

    m2−22m+1=0(m2−2am+1=0)[m=22±8−42=2±1]

  • B1

    2+1 is not in the domain of X

  • A1

    m=2−1

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