Lesson SB1-SB2

SB1-SB2 Modelling with the Poisson distribution Quiz: AQA Further Maths, Unit 4

20 questions

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Lesson SB1-SB2, Modelling with the Poisson distribution: 20 multiple choice questions for the AQA Further Maths (7367), Unit 4: Optional application 2: statistics, written with Revision Ninja.

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The 20 questions

  1. Which of the following is NOT a standard condition for a Poisson model to be suitable?

    • Events occur independently of each other
    • Events occur singly, not in pairs
    • Events occur at fixed, predetermined times
    • Events occur at a constant average rate
  2. What does the notation X ~ Po(lambda) mean?

    • X is a continuous uniform variable on lambda
    • X follows a Poisson distribution with mean lambda
    • X is a normal variable with variance lambda
    • X follows a binomial distribution with lambda trials
  3. For X ~ Po(lambda), which expression gives P(X = x)?

    • e^(-lambda) x^lambda / lambda!
    • e^(-lambda) lambda^x / x!
    • e^(lambda) lambda^x / x!
    • lambda^x / x!
  4. In a Poisson model, what does the parameter lambda represent?

    • The standard deviation of the number of events
    • The largest possible number of events
    • The mean number of events in the interval
    • The probability of no events
  5. For X ~ Po(lambda), what is P(X = 0)?

    • lambda e^(-lambda)
    • e^(-lambda)
    • e^(lambda)
    • 1 - e^(-lambda)
  6. Which of these is most suitable to be modelled by a Poisson distribution?

    • Rainfall amounts in millimetres
    • Customer arrivals per hour at a shop
    • Heights of students in a class
    • Marks out of 100 in a test
  7. What values can a Poisson random variable take?

    • Only positive numbers with decimals
    • Any real number
    • Only values between 0 and 1
    • The non-negative integers 0, 1, 2, ...
  8. Calls to a helpline occur at an average rate of 4 per minute. What is the probability of exactly one call in a minute, to 4 decimal places?

    • 0.2381
    • 0.0183
    • 0.0733
    • 0.1465
  9. X ~ Po(3). What is P(X = 0) to 4 decimal places?

    • 0.0067
    • 0.2240
    • 0.1494
    • 0.0498
  10. X ~ Po(3). What is P(X = 2) to 4 decimal places?

    • 0.1494
    • 0.0498
    • 0.4482
    • 0.2240
  11. X ~ Po(2). What is P(X >= 1) to 4 decimal places?

    • 0.1353
    • 0.2707
    • 0.5940
    • 0.8647
  12. X ~ Po(2). What is P(X = 3) to 4 decimal places?

    • 0.2707
    • 0.1804
    • 0.1353
    • 0.0902
  13. Traffic passes a point at an average rate of 0.5 vehicles per minute. Using a Poisson model, what is the probability of no vehicles in one minute, to 4 decimal places?

    • 0.5000
    • 0.3679
    • 0.6065
    • 0.1353
  14. X ~ Po(1). What is P(X <= 2) to 4 decimal places?

    • 0.3679
    • 0.9197
    • 0.7358
    • 0.5000
  15. X ~ Po(5). What is P(X = 5) to 4 decimal places?

    • 0.1755
    • 0.0067
    • 0.1404
    • 0.2000
  16. For X ~ Po(lambda), P(X = 0) = 0.2. What is lambda, to 2 decimal places?

    • 0.22
    • 5.00
    • 0.80
    • 1.61
  17. For X ~ Po(lambda), for what value of lambda are P(X = 1) and P(X = 2) equal?

    • 2
    • 1/2
    • 4
    • 1
  18. X ~ Po(3). What is P(X >= 2) to 4 decimal places?

    • 0.1991
    • 0.1494
    • 0.8009
    • 0.5768
  19. Customers arrive at a rate of 3 per hour, modelled as Po(6) over two hours. What is P(X >= 2) to 4 decimal places?

    • 0.0174
    • 0.0500
    • 0.9500
    • 0.9826
  20. For X ~ Po(lambda), P(X = 1) = 3 P(X = 0). What is lambda?

    • 9
    • 0.5
    • 3
    • 1/3

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