A Level Mathematics 9709 Paper 63, May/June 2024

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Question paper

9709/63 · May/June 2024

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1

The random variable X has the distribution B(4000,0.001).

a

Use a suitable approximating distribution to find P(2⩽X<5).

[3]
b

Justify your approximating distribution in this case.

[1]
2

The widths, w cm, of a random sample of 150 leaves of a certain kind were measured. The sample mean of w was found to be 3.12 cm. Using this sample, an approximate 95% confidence interval for the population mean of the widths in centimetres was found to be [3.01,3.23].

a

Calculate an estimate of the population standard deviation.

[3]
b

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

[1]
3

The masses in kilograms of large and small bags of cement have the independent distributions N(50,2.4) and N(26,1.8) respectively. Find the probability that the total mass of 5 randomly chosen large bags of cement is greater than the total mass of 10 randomly chosen small bags of cement.

[5]
4

In this question you should not use an approximating distribution. At an election in Menham last year, 24% of voters supported the Today Party. A student wishes to test whether support for the Today Party has decreased since last year. He chooses a random sample of 25 voters in Menham and finds that exactly 2 of them say that they support the Today Party. Test at the 5% significance level whether support for the Today Party has decreased.

[5]
5

A random variable X has probability density function f given by f(x)={ax−x30⩽x⩽2,0otherwise, where a is a constant.

a

Show that a=2.

[3]
b

Find the median of X.

[4]
c

Find the exact value of E(X).

[3]
6

The numbers of green sweets in 200 randomly chosen packets of Frutos are summarised in the table.

Number of green sweets0123> 3
Number of packets325097210
a

Calculate an unbiased estimate for the population mean of the number of green sweets in a packet of Frutos, and show that an unbiased estimate of the population variance is 0.783 correct to 3 significant figures.

[3]
b

The manufacturers of Frutos claim that the mean number of green sweets in a packet is 1.65 . Anji believes that the true value of the mean, μ, is less than 1.65 . She uses the results from the 200 randomly chosen packets to test the manufacturers’ claim. State suitable null and alternative hypotheses for the test.

[1]
c

Show that the result of Anji’s test is significant at the 5% level but not at the 1% level.

[4]
d

It is given that Anji made a Type I error. Explain how this shows that the significance level that Anji used in her test was not 1%.

[1]
7

The independent random variables X and Y have the distributions Po(1.9) and Po(2.2) respectively.

a

Find P(X+Y<4).

[3]
b

Find the probability that X=2 given that X+Y<4.

[4]
c

A sample of 60 randomly chosen pairs of values of X and Y is taken, and the value of X+Y is calculated for each pair. The sample mean of these 60 values is found. Find the probability that the sample mean of X+Y is less than 4.0 .

[6]

Mark scheme

9709/63 · May/June 2024

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1a · 3 marks

  • B1

    [λ=] 4

  • M1

    e−4(422!+433!+444!) or e−4(8+10.67+10.67) or 0.1465+0.19537+0.19537

  • A1

    =0.537 (3sf)

1b · 1 mark

  • B1

    n=4000>50 and either np=4<5 or p=0.001<0.1

2a · 3 marks

  • M1

    3.12+z×σ150=3.23

  • B1

    z=1.96

  • A1

    σ=0.687 (3sf) [cm]

2b · 1 mark

  • B1

    Yes, because population [of widths] not given to be normally distributed

3 · 5 marks

  • B1

    For N and mean =±(5×50−10×26) SOI

  • B1

    For var =5×2.4+10×1.8 SOI

  • M1

    0−(’-10’)’30’[=1.826]

  • M1

    1−Φ(’1.826’)

  • A1

    =0.0339 or 0.034[0] (3sf)

4 · 5 marks

  • B1

    H0:p=0.24 H1:p<0.24

  • M1

    P(X≤2)=0.7625+25×0.7624×0.24+25C2×0.7623×0.242 or 0.0010479+0.0082732+0.0313513

  • A1

    =0.0407

  • M1

    0.0407<0.05

  • A1

    [Evidence to reject H0.] There is sufficient evidence to suggest that the support for the Today Party has decreased.

5a · 3 marks

  • M1

    Attempted integration of f(x) and equated to 1.

  • A1

    Correct integration and substitute correct limits: [ax22−x44]02=1  ⟹  a−44=1

  • A1

    a=2

5b · 4 marks

  • M1

    ∫0m(2x−x3)dx=12

  • A1

    m2−m44=12

  • M1

    m4−4m2+2=0  ⟹  m2=4±16−82[=2±2]

  • A1

    m=2−2 or 0.765 (3sf)

5c · 3 marks

  • M1

    ∫02(2x2−x4)dx

  • A1

    [2x33−x55]02

  • A1

    [=423−425]=8152

6a · 3 marks

  • B1

    μ^=307200 or 1.535

  • M1

    Σx2f=627, Est(σ2)=200199(’627’200−’1.535’2) or 1199(’627’−’307’2200)

  • A1

    =0.783

6b · 1 mark

  • B1

    H0:μ=1.65 H1:μ<1.65

6c · 4 marks

  • M1

    ’1.535’−1.650.783÷200

  • A1

    =−1.838 or −1.84

  • M1

    Φ(0.05) and Φ(0.01) attempted

  • A1

    −1.645>−1.838>−2.326 [Hence significant at 5% but not 1% level]

6d · 1 mark

  • B1

    At the 1% level H0 is not rejected Or a Type I error can only occur if H0 is rejected.

7a · 3 marks

  • B1

    λ=1.9+2.2[=4.1]

  • M1

    e−4.1(1+4.1+4.122!+4.133!) or e−4.1(1+4.1+8.405+11.487) or 0.01657+0.06795+0.13929+0.19037

  • A1

    =0.414 (3sf)

7b · 4 marks

  • M1

    P(X+Y<4 and X=2)=P(2,0 or 2,1)

  • M1

    =e−1.9×1.922(e−2.2+e−2.2×2.2)[=0.0957]

  • M1

    P(X=2∣X+Y<4)=’0.0957’’0.414’

  • A1

    0.231 (3sf)

7c · 6 marks

  • B1

    E(X+Y)=4.1Var(X+Y)=4.1 or Po(246)

  • M1

    Normal and var =4.160 Or normal and var =246

  • M1

    4.0−4.14.1÷60 or totals method 240−246246 or use of continuity correction

  • A1

    =−0.383 (3sf)

  • M1

    Φ(’-0.383’)=1−Φ(’0.383’)

  • A1

    =0.351 (3sf)

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