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Hypothesis tests for binomial and PoissonEdexcel International A Level Further Maths: Subtopic test

10 questions, 27 marks

Edexcel International A Level Further Maths

Hypothesis tests for binomial and Poisson

Total 27 marks

Name

Class

Date

  1. 1
    A seed company claims that 70%70\% of its seeds germinate. A gardener plants 2020 seeds and suspects that the true proportion is lower. Let pp be the probability that a seed germinates and XX the number of the 2020 seeds that germinate. She tests H0:p=0.7\mathrm{H}_0:p=0.7 against H1:p<0.7\mathrm{H}_1:p<0.7 at the 5%5\% significance level. A calculator may be used.
    (a)
    Assuming H0\mathrm{H}_0 is true, what is P(X≤10)\mathrm{P}(X\le10)?
    [1 mark]
    • A0.01710.0171
    • B0.95200.9520
    • C0.04800.0480
    • D0.11330.1133
    (b)
    What is the critical region for the test?
    [1 mark]
    • AX≤10X\le10
    • BX≤9X\le9
    • CX≤11X\le11
    • DX≥11X\ge11
    (c)
    Exactly 1010 of the gardener's seeds germinate. State the conclusion of the test in context.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    Emergency calls to a fire station arrive at random, with a mean of 2.52.5 per hour. After a new housing estate opens, the controller thinks that the rate of calls has increased. In a randomly chosen 44-hour period there are 1616 calls. Let λ\lambda be the mean number of calls in a 44-hour period and let XX be the number of calls in a 44-hour period. The test is at the 5%5\% significance level. A calculator may be used.
    (a)
    Which pair of hypotheses should the controller use?
    [1 mark]
    • AH0:λ=2.5, H1:λ>2.5\mathrm{H}_0:\lambda=2.5,\ \mathrm{H}_1:\lambda>2.5
    • BH0:λ=10, H1:λ≠10\mathrm{H}_0:\lambda=10,\ \mathrm{H}_1:\lambda\ne10
    • CH0:λ=16, H1:λ>16\mathrm{H}_0:\lambda=16,\ \mathrm{H}_1:\lambda>16
    • DH0:λ=10, H1:λ>10\mathrm{H}_0:\lambda=10,\ \mathrm{H}_1:\lambda>10
    (b)
    Assuming H0\mathrm{H}_0 is true, what is P(X≥16)\mathrm{P}(X\ge16)?
    [1 mark]
    • A0.08350.0835
    • B0.04870.0487
    • C0.95130.9513
    • D0.91650.9165
    (c)
    Complete the test and state the conclusion in context.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    A national survey reports that 40%40\% of Year 13 students study after 10 pm. A school believes that its own proportion is different. In a random sample of 150150 of its Year 13 students, 7272 say that they study after 10 pm. Let pp be the proportion of the school's Year 13 students who study after 10 pm and XX the number in the sample who do. The school tests H0:p=0.4\mathrm{H}_0:p=0.4 against H1:p≠0.4\mathrm{H}_1:p\ne0.4 at the 5%5\% significance level, using a normal approximation to the binomial distribution. A calculator may be used.
    (a)
    Assuming H0\mathrm{H}_0 is true, use a normal approximation to find P(X≥72)\mathrm{P}(X\ge72).
    [3 marks]
    (b)
    Carry out the test and state the conclusion in context.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    A call-centre manager states that 70%70\% of calls are answered within 2020 seconds. A customer group believes that the proportion is lower. It takes a random sample of 8080 calls and counts the number XX that are answered within 2020 seconds. Let pp be the proportion of all calls answered within 2020 seconds. The group tests the manager's claim at the 5%5\% significance level, using a normal approximation to the binomial distribution. A calculator may be used.
    (a)
    (i) Write down suitable hypotheses for the test.
    (ii) Use a normal approximation to find the critical region for the test.
    [6 marks]
    (b)
    In the sample, 4646 of the 8080 calls were answered within 2020 seconds.
    (i) Use the critical region to state the conclusion in context.

    (ii) Find the actual significance level of the test, using the normal approximation.

    (iii) Explain why the normal approximation is reasonable here.
    [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).