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Modelling with probabilityEdexcel A-Level Maths: Flashcards

What these 13 flashcards ask

  • What is a probability model?
  • What does 'fair' mean for a die?
  • What are three common modelling assumptions?
  • How do you critique an assumption?
  • Give a reason independence may fail for buses.
  • Conditions for X\sim B(n,p)?
  • Binomial probability formula?
  • What must the probabilities of a valid discrete model add to?
  • Fair die rolled 60 times: expected sixes?
  • Observed 18 sixes in 60 rolls of a die: comment?
  • If P(result or more extreme) is large, what do you conclude?
  • Why might a small sample not settle a question about a model?
  • If p of lateness rises above 0.1, what happens to P(all 3 buses on time)?

Exam questions on Modelling with probability

  1. A fair six-sided die is rolled twice. A student models the situation by assuming that the two rolls are independent and that each face is equally likely on each roll.
    The die is rolled 60 times and a six occurs 18 times. Comment on the assumption that the die is fair.2 marks
  2. A bus company models each of its buses as being late with probability 0.10.1, independently of every other bus. Three buses run on a route each morning.
    At rush hour, the true probability that each bus is late is greater than 0.10.1. State the effect on the probability that all three buses are on time, and justify your answer.2 marks
  3. The number of goals XX scored by a football team in a match is modelled by P(X=0)=0.2P(X=0)=0.2, P(X=1)=0.35P(X=1)=0.35, P(X=2)=0.25P(X=2)=0.25, P(X=3)=0.15P(X=3)=0.15 and P(X=4)=kP(X=4)=k, with no other values possible.
    Find the value of kk and the probability that the team scores at least 2 goals.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).