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Hypothesis test for the parameter of a geometric distributionEdexcel A-Level Further Maths: Subtopic test

10 questions, 27 marks

Edexcel A-Level Further Maths

Hypothesis test for the parameter of a geometric distribution

Total 27 marks

Name

Class

Date

  1. 1
    A scratch-card company claims that the probability that a card wins a prize is 0.20.2, independently for each card. A customer buys cards one at a time and has her first win on the 1212th card. She suspects that the probability of winning is lower than the company claims and carries out a test at the 5%5\% significance level. Let XX be the number of cards bought up to and including the first win.
    (a)
    Which of the following gives the correct hypotheses, where pp is the probability that a card wins a prize?
    [1 mark]
    • AH0:p=0.2, H1:p<0.2\mathrm{H}_0:p=0.2,\ \mathrm{H}_1:p<0.2
    • BH0:p=0.2, H1:p>0.2\mathrm{H}_0:p=0.2,\ \mathrm{H}_1:p>0.2
    • CH0:p=0.2, H1:p≠0.2\mathrm{H}_0:p=0.2,\ \mathrm{H}_1:p\neq0.2
    • DH0:p<0.2, H1:p=0.2\mathrm{H}_0:p<0.2,\ \mathrm{H}_1:p=0.2
    (b)
    Under H0\mathrm{H}_0, find the probability of the first win being on the 1212th card or later, P(X≥12)\mathrm{P}(X\geq12).
    [1 mark]
    • A0.06870.0687
    • B0.91410.9141
    • C0.10740.1074
    • D0.08590.0859
    (c)
    Find the critical region for the test.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    A manufacturer says that the probability that a screen it makes is defective is 0.020.02, independently for each screen. An inspector tests screens one at a time and finds the first defective screen at the 22nd screen tested. She suspects that the probability of a defective screen is higher than 0.020.02 and carries out a test at the 5%5\% significance level. Let XX be the number of screens tested up to and including the first defective one.
    (a)
    Under H0:p=0.02\mathrm{H}_0:p=0.02, find the probability of the first defective screen being found at the 22nd screen or earlier, P(X≤2)\mathrm{P}(X\leq2).
    [1 mark]
    • A0.96040.9604
    • B0.01960.0196
    • C0.03960.0396
    • D0.04000.0400
    (b)
    Which of the following is the critical region for the test at the 5%5\% significance level?
    [1 mark]
    • AX≤1X\leq1
    • BX≤2X\leq2
    • CX≤3X\leq3
    • DX≥3X\geq3
    (c)
    Write down the conclusion of the test, in context.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    A website claims that each visitor clicks on an advert with probability 0.10.1, independently of other visitors. An analyst suspects that the probability is lower. She counts the number of visitors XX up to and including the first visitor who clicks, and will test the claim at the 5%5\% significance level.
    (a)
    State suitable hypotheses for the test, where pp is the probability that a visitor clicks on the advert, and state the distribution of XX under H0\mathrm{H}_0.
    [3 marks]
    (b)
    Find the critical region for the test, and state the actual significance level.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    In a video game, the designer says that a player completes a level at each attempt with probability 0.30.3, independently of other attempts. A teacher thinks that the probability for her pupils is different. She records the number of attempts XX one pupil makes up to and including the first attempt that completes the level, and uses a two-tailed test at the 10%10\% significance level with 5%5\% in each tail.
    (a)
    (i) State suitable hypotheses and the distribution of XX under H0\mathrm{H}_0.
    (ii) Find the critical region for the test and the actual significance level.
    [6 marks]
    (b)
    The pupil needs 1111 attempts to complete the level.
    (i) Carry out the test.

    (ii) Explain why the model with a constant probability of success might not be suitable for a pupil learning the level, and what this means for your conclusion.
    [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).