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Sums of Poisson variables and Poisson hypothesis testsAQA A-Level Further Maths: Subtopic test

10 questions, 27 marks

AQA A-Level Further Maths

Sums of Poisson variables and Poisson hypothesis tests

Total 27 marks

Name

Class

Date

  1. 1
    Emails arrive at two servers independently of one another. The number of emails arriving at server A in a minute is X∼Po(3)X\sim\mathrm{Po}(3) and the number arriving at server B in a minute is Y∼Po(2)Y\sim\mathrm{Po}(2).
    (a)
    Which of the following is the distribution of the total number of emails, X+YX+Y, arriving at the two servers in a minute?
    [1 mark]
    • APo(6)\mathrm{Po}(6)
    • BPo(1)\mathrm{Po}(1)
    • CPo(5)\mathrm{Po}(5)
    • DPo(2.5)\mathrm{Po}(2.5)
    (b)
    Find the probability that exactly 4 emails arrive at the two servers together in a minute.
    [1 mark]
    • A0.16800.1680
    • B0.09020.0902
    • C0.73500.7350
    • D0.17550.1755
    (c)
    Find the probability that at least 2 emails arrive at the two servers together in a minute.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    The number of complaints received by a café in a week has historically followed Po(4)\mathrm{Po}(4). After staff training, the manager claims that the mean number of complaints per week, λ\lambda, has fallen. In the first week after the training the café receives 1 complaint. A hypothesis test is carried out at the 5% significance level.
    (a)
    Which of the following are the correct hypotheses for the test?
    [1 mark]
    • AH0:λ=4, H1:λ<4\mathrm{H}_0:\lambda=4,\ \mathrm{H}_1:\lambda<4
    • BH0:λ=4, H1:λ≠4\mathrm{H}_0:\lambda=4,\ \mathrm{H}_1:\lambda\ne4
    • CH0:λ=1, H1:λ<1\mathrm{H}_0:\lambda=1,\ \mathrm{H}_1:\lambda<1
    • DH0:λ<4, H1:λ=4\mathrm{H}_0:\lambda<4,\ \mathrm{H}_1:\lambda=4
    (b)
    Assuming H0\mathrm{H}_0 is true, find the probability of 1 or fewer complaints in a week.
    [1 mark]
    • A0.01830.0183
    • B0.09160.0916
    • C0.07330.0733
    • D0.90840.9084
    (c)
    State the conclusion of the test, in context, using your answer to (b).
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    In a textile factory, flaws in fabric occur at random. Machine A produces flaws at a mean rate of 2.1 per metre and machine B at a mean rate of 1.4 per metre. The numbers of flaws per metre are modelled by X∼Po(2.1)X\sim\mathrm{Po}(2.1) for machine A and Y∼Po(1.4)Y\sim\mathrm{Po}(1.4) for machine B, with XX and YY independent.
    (a)
    One metre of fabric is taken from each machine. Find the probability that the two pieces together have exactly 2 flaws.
    [3 marks]
    (b)
    Machine B is serviced. The supervisor believes the mean number of flaws per metre from machine B has increased. A randomly chosen metre of fabric from machine B has 5 flaws. Test the supervisor's belief at the 5% significance level.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    The numbers of ambulance call-outs in a week to village A and to the neighbouring village B are modelled by X∼Po(2.5)X\sim\mathrm{Po}(2.5) and Y∼Po(1.5)Y\sim\mathrm{Po}(1.5) respectively. The two numbers are independent, and call-outs in different weeks are independent.
    (a)
    Historically the mean for village A has been as modelled. After a new housing estate was built in village A, there were 7 call-outs to village A in one week. Carry out a test, at the 5% significance level, to see whether there is evidence that the mean number of call-outs per week to village A has changed.
    [6 marks]
    (b)
    (i) Find the probability that the total number of call-outs to the two villages in one week is at least 6.
    (ii) Find the probability that the total number of call-outs to the two villages over four weeks is at most 12.
    [6 marks]

    Total for question 4: 12 marks

End of questions

Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).