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Choosing a distribution and approximationsEdexcel A-Level Maths: Flashcards

What these 14 flashcards ask

  • Four conditions for a binomial model?
  • Give a situation where independence may fail.
  • Why does sampling without replacement from a small population break the binomial model?
  • How can a sample be chosen so that a binomial model is more suitable?
  • When is a Normal model suitable?
  • Name a feature that makes a Normal model unsuitable.
  • When can B(n,p) be approximated by a Normal distribution?
  • What is the Normal approximation to B(n,p)?
  • Approximate B(60,0.45) by a Normal distribution.
  • Why is a continuity correction needed?
  • P(X\ge30) becomes what in the Normal approximation?
  • P(X<20) becomes what in the Normal approximation?
  • P(a\le X\le b) becomes what in the Normal approximation?
  • Why is the approximation poor for B(50,0.05)?

Exam questions on Choosing a distribution and approximations

  1. Each seed in a very large batch germinates independently with probability 0.45. A random sample of 60 seeds is planted and XX is the number that germinate.
    Use a Normal approximation to estimate P(X≥30)P(X\ge30).2 marks
  2. A school has many students, of whom 10% walk to school. A researcher selects the 25 students in one tutor group and records XX, the number who walk to school. Students in the same tutor group often live in the same roads.
    Suggest how the researcher could choose the sample so that a binomial model would be more suitable.2 marks
  3. A biased coin has probability 0.55 of landing heads. It is tossed 80 times and HH is the number of heads.
    Explain why HH can be modelled by a Normal distribution, and state the distribution that should be used.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).