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The Central Limit TheoremEdexcel A-Level Further Maths: Mind map

The theorem
Population values

Central Limit Theorem

distribution of the sample mean

Xˉ≈N(μ,σ2/n)\bar{X}\approx\mathrm{N}(\mu,\sigma^2/n)large nn
Calculating
Sample size
Exam tips

Exam questions on The Central Limit Theorem

  1. The number of customers XX arriving at a small shop in an hour has a Poisson distribution with mean 44. The manager records the number of arrivals in each of 5050 randomly chosen hours and calculates the sample mean Xˉ\bar{X}.
    Find the probability that the sample mean lies between 3.83.8 and 4.34.3.2 marks
  2. A box contains 1212 pens, each of which is faulty with probability 0.250.25, independently of the others. Let XX be the number of faulty pens in a randomly chosen box. A random sample of 4040 boxes is taken and Xˉ\bar{X} is the mean number of faulty pens per box in the sample.
    Find P(Xˉ>3.3)\mathrm{P}(\bar{X}>3.3).2 marks
  3. At a fair, the number of tickets XX a visitor buys up to and including the first prize-winning ticket has a geometric distribution with parameter p=0.2p=0.2. A random sample of 6060 visitors is taken, and Xˉ\bar{X} is the mean number of tickets bought up to and including the first prize.
    Explain why Xˉ\bar{X} can be assumed to have a normal distribution, and state its approximate distribution.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).