A Level Mathematics 9709 Paper 63, May/June 2023

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Question paper

9709/63 · May/June 2023

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1

A random variable X has probability density function f, where f(x)={32(1−x2)0⩽x⩽1,0otherwise. Find E(X).

[3]
2

A club has 264 members, numbered from 1 to 264. Donash wants to choose a random sample of members for a survey. In order to choose the members for the sample he uses his calculator to generate random digits. His first 20 random digits are as follows. 10612118012147322759

a

The numbers of the first two members in the sample are 106 and 121. Write down the numbers of the next two members in the sample.

[2]
b

To obtain the numbers for members after the 4th member, Donash starts with the second random digit, 0, and obtains the numbers 061 and 211. Explain why this method will not produce a random sample.

[1]
3

In a random sample of 100 students at Luciana's college, x students said that they liked exams. Luciana used this result to find an approximate 90% confidence interval for the proportion, p, of all students at her college who liked exams. Her confidence interval had width 0.157 92.

a

Find the two possible values of x.

[4]
b

Suzma independently took another random sample and found another approximate 90% confidence interval for p. Find the probability that neither of the two confidence intervals contains the true value of p.

[1]
4

The mass, in tonnes, of steel produced per day at a factory is normally distributed with mean 65.2 and standard deviation 3.6. It can be assumed that the mass of steel produced each day is independent of other days. The factory makes $50 profit on each tonne of steel produced. Find the probability that the total profit made in a randomly chosen 7-day week is less than $22 000.

[6]
5

Last year the mean time for pizza deliveries from Pete's Pizza Pit was 32.4 minutes. This year the time, t minutes, for pizza deliveries from Pete's Pizza Pit was recorded for a random sample of 50 deliveries. The results were as follows. n=50Σt=1700Σt2=59 050

a

Find unbiased estimates of the population mean and variance.

[3]
b

Test, at the 2% significance level, whether the mean delivery time has changed since last year.

[5]
c

Under what circumstances would it not be necessary to use the Central Limit Theorem in answering (b)?

[1]
6

It is known that 1 in 5000 people in Atalia have a certain condition. A random sample of 12 500 people from Atalia is chosen for a medical trial. The number having the condition is denoted by X.

a

Use an appropriate approximating distribution to find P(X⩽3).

[3]
b

Find the values of E(X) and Var⁡(X), and explain how your answers suggest that the approximating distribution used in (a) is likely to be appropriate.

[2]
7

A random variable X has probability density function f, where the graph of y=f(x) is a semicircle with centre (0,0) and radius 2π, entirely above the x-axis. Elsewhere f(x)=0 (see diagram).

Figure 1 of 1 for question 7
a

Verify that f can be a probability density function.

[2]
b

A and B are the points where the line x=1π meets the x-axis and the semicircle respectively. Show that angle AOB is 14π radians and hence find P(X>1π).

[6]
8

A new light was installed on a certain footpath. A town councillor decided to use a hypothesis test to investigate whether the number of people using the path in the evening had increased. Before the light was installed, the mean number of people using the path during any 20-minute period during the evening was 1.01. After the light was installed, the total number, n, of people using the path during 3 randomly chosen 20-minute periods during the evening was noted.

a

Given that the value of n was 6, use a Poisson distribution to carry out the test at the 5% significance level.

[6]
b

Later a similar test, at the 5% significance level, was carried out using another 3 randomly chosen 20-minute periods during the evening. Find the probability of a Type I error.

[2]
c

State what is meant by a Type I error in this context.

[1]
d

State, in context, what further information would be needed in order to find the probability of a Type II error. Do not carry out any further calculation.

[2]

Mark scheme

9709/63 · May/June 2023

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1 · 3 marks

  • M1

    Attempt to integrate xf(x); ignore limits.

  • A1

    Correct integration and limits.

  • A1

    =38

2a · 2 marks

  • B1

    One correct. Ignore incorrect numbers.

  • B1

    Both correct and no extra numbers seen. (Allow other correct use of list of digits).

2b · 1 mark

  • B1

    These numbers are not independent of the previous numbers OR Only a finite number of digits used

3a · 4 marks

  • B1

    z=1.645

  • M1

    z×x100×(1−x100)100=0.07896

  • A1

    [x(100−x)=1003×0.078962÷1.6452] x2−100x+2304=0

  • A1

    x=36 or 64

3b · 1 mark

  • B1

    0.12=0.01

4 · 6 marks

  • B1

    Mean =7×65.2=456.4 (or Mean =7×65.2×50=22820)

  • M1

    Var =7×3.62 [=90.72] (or Var =7×3.62)

  • M1

    22 000/50=440 used in standardising equation (or Var =502×’90.72’ [=226800])

  • M1

    For standardising with their values. No mixed methods.

  • M1

    For correct probability area consistent with their values.

  • A1

    =0.0425 or 0.0426

5a · 3 marks

  • B1

    xˉ=1700/50=34

  • M1

    Est(σ2)=5049(5905050−342) or 149(59050−1700250)

  • A1

    =25.5 (3 sf) or 125049

5b · 5 marks

  • B1

    H0: Population mean time =32.4, H1: Population mean time ≠32.4

  • M1

    34−32.4’25.5’50

  • A1

    =2.24 (3 sf)

  • M1

    ’2.24’<2.326

  • A1

    [Not reject H0] Insufficient evidence that (mean) time has changed

5c · 1 mark

  • B1

    Distribution of times in the population is normal

6a · 3 marks

  • B1

    X∼Po(2.5)

  • M1

    e−2.5(1+2.5+2.522+2.533!)

  • A1

    =0.758 (3 sf)

6b · 2 marks

  • B1

    E(X)=52 or 2.5 , Var(X)=49992000 or 2.4995

  • 1 mark

    These are almost equal

7a · 2 marks

  • M1

    12π(2π)2

  • A1

    =1, which is the area under a PDF [and f(x)≥0]

7b · 6 marks

  • B1

    cos⁡−1(1π2π)=π4 (or Use of correct limits 1π to 2π)

  • B1

    Area of sector =14 (or Find equation of curve x2+y2=2π, M1 in alt method)

  • M1

    Area of triangle AOB=12OA×OB=12×1π×2π−1π or Area of triangle AOB=12OA×OB×sin⁡(AOB)=12×1π×2πsin⁡π4 (or y=2π−x2, A1 in alt method)

  • A1

    12π or 0.1592 (or Attempt to integrate (any limits), M1 in alt method)

  • M1

    ‘14’ – ‘12π’ or ‘0.25’ – ‘0.1592’ (or Correct integration with correct limits, A1 in alt method)

  • A1

    =14−12π or 0.0908 (3sf)

8a · 6 marks

  • B1

    H0: Pop mean no. people =3.03 or 1.01 (per 20 min), H1: Pop mean no. people >3.03 or 1.01 (per 20 min)

  • M1

    Use of Po(3.03)

  • M1

    =1−e−3.03(1+3.03+3.0322+3.0333!+3.0344!+3.0355!)

  • A1

    =0.0870 (3sf) [0.0869727]

  • M1

    0.0870>0.05

  • A1

    (Do not reject H0) Insufficient evidence to believe (mean) number of people has increased

8b · 2 marks

  • M1

    "0.0869727" – e−3.03×3.0366! or 0.869727−e−3.03(1.0748) or 0.869727−0.05193 or 1−e−3.03(1+3.03+3.0322+3.0333!+3.0344!+3.0355!+3.0366!)

  • A1

    0.0350 or 0.0351

8c · 1 mark

  • B1

    Concluding that the (mean) number of people (using the path per 20 mins in the evening) has increased when it has not

8d · 2 marks

  • B1

    A value for the true mean

  • B1

    Number of people using the path per 20 mins in the evening.

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