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4.15 Central limit theoremIB Maths: Applications and Interpretation HL: Subtopic test

10 questions, 27 marks

IB Maths: Applications and Interpretation HL

4.15 Central limit theorem

Total 27 marks

Name

Class

Date

  1. 1
    The mass XX kg of a bag of flour is normally distributed with mean 1.001.00 kg and standard deviation 0.040.04 kg. A random sample of 99 bags is taken, with masses independent of each other, and Xˉ\bar{X} is the mean mass of the sample.
    (a)
    Which of the following is the distribution of Xˉ\bar{X}?
    [1 mark]
    • AN(1, 0.042)N\left(1,\ 0.04^2\right)
    • BN(9, 0.0429)N\left(9,\ \frac{0.04^2}{9}\right)
    • CN(1, 0.0429)N\left(1,\ \frac{0.04^2}{9}\right)
    • DN(1, 0.0423)N\left(1,\ \frac{0.04^2}{3}\right)
    (b)
    Use your GDC to find P(Xˉ>1.02)\mathrm{P}(\bar{X}>1.02).
    [1 mark]
    • A0.3090.309
    • B0.06680.0668
    • C0.9330.933
    • D0.1340.134
    (c)
    Explain why Xˉ\bar{X} is exactly normally distributed here, even though the sample size is only 99.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    The mass of an adult passenger, XX kg, is normally distributed with mean 7878 kg and standard deviation 1111 kg. Passenger masses are independent of each other.
    (a)
    Six passengers are chosen at random. The total mass of the six passengers is TT kg. Which of the following is the distribution of TT?
    [1 mark]
    • AN(468, 726)N(468,\ 726)
    • BN(468, 4356)N(468,\ 4356)
    • CN(78, 121)N(78,\ 121)
    • DN(468, 66)N(468,\ 66)
    (b)
    Two passengers are chosen at random, with masses X1X_1 and X2X_2. Which of the following is the distribution of X1−X2X_1-X_2?
    [1 mark]
    • AN(156, 242)N(156,\ 242)
    • BN(0, 0)N(0,\ 0)
    • CN(0, 121)N(0,\ 121)
    • DN(0, 242)N(0,\ 242)
    (c)
    A lift is overloaded if the total mass of six passengers exceeds 500500 kg. Use your GDC to find the probability that the lift is overloaded.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    The waiting time TT minutes of a caller at a call centre has mean 6.06.0 minutes and standard deviation 4.54.5 minutes. The distribution of TT is positively skewed, so it is not normal. A random sample of 5050 calls is taken and Tˉ\bar{T} is the mean waiting time of the sample.
    (a)
    State the approximate distribution of Tˉ\bar{T}, giving the reason why the approximation is valid and its parameters.
    [3 marks]
    (b)
    (i) Use your GDC to find the probability that the mean waiting time of the sample exceeds 77 minutes.
    (ii) Explain why the same method cannot be used to find the probability that a single caller waits for more than
    77 minutes.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    A bakery bakes loaves whose mass LL grams is normally distributed with mean 800800 g and standard deviation 1515 g. Each loaf is put in a paper bag whose mass BB grams is normally distributed with mean 2020 g and standard deviation 33 g. All masses are independent.
    (a)
    (i) Write down the distribution of the mass P=L+BP=L+B of a loaf in its bag.
    (ii) Find the probability that a bagged loaf has mass less than
    800800 g.
    (iii) Four bagged loaves are chosen at random. Find the probability that their total mass exceeds
    33003300 g.
    Use your GDC where helpful.
    [6 marks]
    (b)
    An inspector weighs 3636 unbagged loaves chosen at random and finds their mean mass Lˉ\bar{L}.
    (i) Write down the distribution of
    Lˉ\bar{L}.
    (ii) Find
    P(Lˉ<795)\mathrm{P}(\bar{L}<795).
    (iii) Use your GDC to find the smallest sample size
    nn for which P(Lˉ<797)<0.01\mathrm{P}(\bar{L}<797)<0.01.
    [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).