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Statistics: Statistical distributionsEdexcel A-Level Maths: Topic test

20 questions, 54 marks

Edexcel A-Level Maths

Statistics: Statistical distributions topic test

Total 54 marks

Name

Class

Date

  1. 1
    A machine selects one ball at random from 20 identical balls numbered 1 to 20. The random variable XX is the number on the ball selected.
    (a)
    What is the value of P(X=7)P(X=7)?
    [1 mark]
    • A120\dfrac{1}{20}
    • B119\dfrac{1}{19}
    • C720\dfrac{7}{20}
    • D110\dfrac{1}{10}
    (b)
    What is the value of P(X⩽6)P(X\leqslant6)?
    [1 mark]
    • A0.250.25
    • B0.350.35
    • C0.30.3
    • D0.050.05
    (c)
    Find the probability that XX is a multiple of 4 or is greater than 17.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    In a call centre, each call is answered within 20 seconds with probability 0.80.8, independently of every other call. The random variable XX is the number of calls answered within 20 seconds out of the next 15 calls.
    (a)
    Which distribution is a suitable model for XX?
    [1 mark]
    • AB(0.8,15)B(0.8,15)
    • BB(15,0.8)B(15,0.8)
    • CB(15,0.2)B(15,0.2)
    • DN(12,2.4)N(12,2.4)
    (b)
    What is the value of P(X=15)P(X=15)?
    [1 mark]
    • A0.80.8
    • B0.60200.6020
    • C0.13190.1319
    • D0.03520.0352
    (c)
    Find the probability that at least 13 of the 15 calls are answered within 20 seconds.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    The time, TT minutes, taken by a runner to complete a 10 km course is modelled by T∼N(52,62)T\sim N(52,6^2).
    (a)
    Find the probability that a runner completes the course in less than 45 minutes.
    [3 marks]
    (b)
    The fastest 5%5\% of runners qualify for a final. Find the slowest time that qualifies.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    A bakery sells wholemeal and white loaves. Each customer independently buys a wholemeal loaf with probability 0.480.48. On a typical day there are 120 customers, and XX is the number who buy a wholemeal loaf.
    (a)
    Use a Normal approximation to X∼B(120,0.48)X\sim B(120,0.48) to estimate P(X⩾65)P(X\geqslant65), and state why this approximation is suitable.
    [6 marks]
    (b)
    A group of three customers is chosen at random. Find the probability that at least two of them buy a wholemeal loaf. State two assumptions required for your model and give a reason why one of them may not hold for customers who arrive together.
    [6 marks]

    Total for question 4: 12 marks

  5. 5
    The discrete random variable WW has probability distribution P(W=w)=cw2P(W=w)=cw^2 for w=1,2,3w=1,2,3, where cc is a constant.
    (a)
    What is the value of cc?
    [1 mark]
    • A16\dfrac{1}{6}
    • B13\dfrac{1}{3}
    • C19\dfrac{1}{9}
    • D114\dfrac{1}{14}
    (b)
    What is the value of P(W⩾2)P(W\geqslant2)?
    [1 mark]
    • A914\dfrac{9}{14}
    • B1314\dfrac{13}{14}
    • C514\dfrac{5}{14}
    • D114\dfrac{1}{14}
    (c)
    Find the probability that WW is odd.
    [2 marks]

    Total for question 5: 4 marks

  6. 6
    A driving instructor enters 8 students for their theory test. Each student independently passes at the first attempt with probability 0.70.7. The random variable XX is the number of the 8 students who pass at the first attempt, and X∼B(8,0.7)X\sim B(8,0.7).
    (a)
    What is the value of P(X=5)P(X=5)?
    [1 mark]
    • A0.1680.168
    • B0.004540.00454
    • C0.2540.254
    • D0.2960.296
    (b)
    Which expression gives the probability that at least 6 of the students pass at the first attempt?
    [1 mark]
    • A1−P(X⩽5)1-P(X\leqslant5)
    • B1−P(X⩽6)1-P(X\leqslant6)
    • CP(X⩽6)P(X\leqslant6)
    • D1−P(X⩽4)1-P(X\leqslant4)
    (c)
    Find the probability that at least 6 of the 8 students pass at the first attempt.
    [2 marks]

    Total for question 6: 4 marks

  7. 7
    The length, LL cm, of adult brown trout in a lake is modelled by L∼N(μ,σ2)L\sim N(\mu,\sigma^2). A survey finds that 10%10\% of the trout are shorter than 18 cm and 15%15\% are longer than 30 cm.
    (a)
    Show that the information leads to the equations 18−μ=−1.2816σ18-\mu=-1.2816\sigma and 30−μ=1.0364σ30-\mu=1.0364\sigma.
    [3 marks]
    (b)
    Solve the equations to find μ\mu and σ\sigma.
    [4 marks]

    Total for question 7: 7 marks

  8. 8
    A weather researcher suggests that the number of rainy days, RR, in a 30-day June at a coastal town can be modelled by R∼B(30,0.3)R\sim B(30,0.3).
    (a)
    Using this model, find P(R=9)P(R=9) and P(R⩾12)P(R\geqslant12), and state two assumptions that the model makes about rainy days.
    [6 marks]
    (b)
    The researcher uses a Normal approximation to estimate P(R⩾12)P(R\geqslant12). Calculate this estimate, compare it with your exact value from part (a), and comment on whether the approximation and the binomial model are appropriate for rainy days.
    [6 marks]

    Total for question 8: 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).