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4.17 Poisson distributionIB Maths: Applications and Interpretation HL: Flashcards

What these 12 flashcards ask

  • What are the conditions for a Poisson model?
  • Write down P(X=r) for X\simPo(\lambda).
  • Mean and variance of Po(\lambda)?
  • A rate of 4 per hour: what is \lambda for 30 minutes?
  • X\simPo(\lambda), Y\simPo(\mu) independent: distribution of X+Y?
  • How do you find P(X\ge r) on the GDC?
  • How do you find P(X3)?
  • Name a situation where Poisson events are not independent.
  • How do you tell binomial from Poisson?
  • When is the normal distribution the right model?
  • Is X-Y Poisson when X and Y are independent Poisson variables?
  • Do you need to prove that the mean and variance of Po(\lambda) are \lambda?

Exam questions on 4.17 Poisson distribution

  1. Calls to a school office arrive independently at a uniform average rate of 44 calls per hour. Let NN be the number of calls in a one-hour period.
    Find the probability that at least 22 calls arrive in a 3030-minute period.2 marks
  2. Flaws occur in rolls of fabric independently of each other, at a uniform average rate of 0.80.8 per square metre in fabric X and 1.51.5 per square metre in fabric Y.
    Two square metres of fabric X and one square metre of fabric Y are inspected. Use your GDC to find the probability that more than 33 flaws are found in total.2 marks
  3. Patients arrive at the emergency department of a hospital during the night at an average rate of 55 per hour. Let XX be the number of patients who arrive in a one-hour period during the night.
    State two conditions needed for XX to be modelled by a Poisson distribution, and give one reason why arrivals at an emergency department might not satisfy a condition.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).