Lesson SF1-SF2

SF1-SF2 Modelling and probabilities with the exponential distribution Quiz: AQA Further Maths, Unit 4

20 questions

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Lesson SF1-SF2, Modelling and probabilities with the exponential 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. What is the probability density function of an exponential distribution with rate lambda?

    • f(x) = lambda x for x >= 0
    • f(x) = 1/lambda for x >= 0
    • f(x) = lambda e^(-lambda x) for x >= 0
    • f(x) = e^(-lambda x) for 0 <= x <= 1
  2. What is the cumulative distribution function of an exponential distribution with rate lambda?

    • F(x) = 1 - lambda x
    • F(x) = 1 - e^(-lambda x)
    • F(x) = lambda e^(-lambda x)
    • F(x) = e^(-lambda x)
  3. Which conditions make an exponential distribution a suitable model for a situation?

    • Events occur in fixed groups at fixed times
    • Each event has exactly the same size
    • Events occur at a rate that increases steadily over time
    • Events occur singly, independently and at a constant average rate
  4. For X ~ Exp(lambda), which expression gives P(X > x)?

    • e^(-lambda x)
    • lambda e^(-lambda x)
    • 1 - e^(-lambda x)
    • e^(lambda x)
  5. In the exponential distribution, what does the parameter lambda represent?

    • The median of the distribution
    • The number of events in the interval
    • The rate of events per unit time
    • The mean of the distribution directly
  6. Which situation is most naturally modelled by an exponential distribution?

    • The time until the next call arrives at a constant rate
    • The score on a fixed test out of 100
    • The number of heads in 10 coin tosses
    • The heights of students in a class
  7. Which statement about an exponential distribution with rate lambda is correct?

    • The pdf is 1 for all x
    • It can take negative values
    • Its cdf is decreasing
    • The total area under the pdf is 1
  8. For an exponential distribution with rate lambda = 0.5, what is P(X <= 2), to 4 decimal places?

    • 0.6321
    • 0.1353
    • 0.3679
    • 0.8647
  9. For an exponential distribution with rate lambda = 0.5, what is P(X > 4), to 4 decimal places?

    • 0.0183
    • 0.1353
    • 0.6321
    • 0.8647
  10. For an exponential distribution with rate lambda = 0.5, what is P(1 <= X <= 3), to 4 decimal places?

    • 0.6321
    • 0.6065
    • 0.2231
    • 0.3834
  11. For an exponential distribution with rate lambda = 2 per minute, what is P(X > 1), to 4 decimal places?

    • 0.8647
    • 0.0183
    • 0.6065
    • 0.1353
  12. Calls arrive at a rate of 3 per hour. Modelling the waiting time X in hours as exponential, what is P(X <= 1/3), to 4 decimal places?

    • 0.0498
    • 0.9502
    • 0.6321
    • 0.3679
  13. For an exponential distribution with rate lambda = 0.5, what is the median?

    • about 1.386
    • about 0.693
    • 4
    • 2
  14. For an exponential distribution with rate lambda = 0.5, what is F(4), to 4 decimal places?

    • 0.8647
    • 0.1353
    • 0.9502
    • 0.6321
  15. For an exponential distribution with rate lambda = 0.5, the value x satisfies P(X > x) = 0.2. What is x, to 2 decimal places?

    • 6.44
    • 1.61
    • 0.69
    • 3.22
  16. For an exponential distribution with rate lambda, P(X > 5 | X > 3) is required. Using the memoryless property, what is this probability when lambda = 0.5, to 4 decimal places?

    • 0.3679
    • 0.2231
    • 0.1353
    • 0.6065
  17. A random variable has pdf f(x) = 2e^(-2x) for x >= 0. What is P(X <= 0.5), to 4 decimal places?

    • 0.8647
    • 0.1353
    • 0.6321
    • 0.3679
  18. A random variable has pdf f(x) = 3e^(-3x) for x >= 0. What is P(X < 1), to 4 decimal places?

    • 0.6321
    • 0.3679
    • 0.0498
    • 0.9502
  19. An exponential random variable has rate lambda = 1.5. What is P(1 <= X <= 2), to 4 decimal places?

    • 0.0498
    • 0.2231
    • 0.1733
    • 0.4231
  20. An exponential random variable X has rate lambda. Which integral gives P(a <= X <= b)?

    • Integral of lambda e^(-lambda x) from a to b
    • Integral of e^(-lambda x) from a to b
    • Integral of x lambda e^(-lambda x) from a to b
    • Integral of lambda x from a to b

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