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
- Calls to a school office arrive independently at a uniform average rate of calls per hour. Let be the number of calls in a one-hour period.Find the probability that at least calls arrive in a -minute period.2 marks
- Flaws occur in rolls of fabric independently of each other, at a uniform average rate of per square metre in fabric X and 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 flaws are found in total.2 marks
- Patients arrive at the emergency department of a hospital during the night at an average rate of per hour. Let be the number of patients who arrive in a one-hour period during the night.State two conditions needed for to be modelled by a Poisson distribution, and give one reason why arrivals at an emergency department might not satisfy a condition.3 marks
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).