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4.15 Central limit theoremIB Maths: Applications and Interpretation HL: Mind map

What this mind map covers

  • Linear combinations
  • Sample mean
  • CLT
  • Simulation
  • Method
  • Exam tips

Exam questions on 4.15 Central limit theorem

  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.
    Explain why Xˉ\bar{X} is exactly normally distributed here, even though the sample size is only 99.2 marks
  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 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
  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.
    State the approximate distribution of Tˉ\bar{T}, giving the reason why the approximation is valid and its parameters.3 marks
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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).