Lesson M3

M3 Modelling with probability Quiz: AQA Maths, Unit 11

20 questions

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Lesson M3, Modelling with probability: 20 multiple choice questions for the AQA Maths (7357), Unit 11: Statistics, written with Revision Ninja.

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The 20 questions

  1. Why are simplifying assumptions stated when constructing a mathematical probability model?

    • Define valid conditions
    • Remove all uncertainty
    • Guarantee exact accuracy
    • Increase sample size
  2. Which real-world customer behaviour violates the assumption of independent arrivals in a model?

    • Arriving in groups
    • Arriving at noon
    • Paying by card
    • Arriving on foot
  3. Which real-world property violates the model assumption that a coin is fair?

    • Two outcomes
    • Independent tosses
    • Fixed trials
    • Coin bias
  4. In manufacturing, which phenomenon causes defective items in a batch to violate independence assumptions?

    • Machine fault clustering
    • Constant temperature
    • Uniform inspection
    • Random raw materials
  5. Which condition is required for a binomial probability distribution model to be valid?

    • Independent trials
    • Variable probability
    • Continuous outcomes
    • Unlimited trials
  6. A model says P(rain on any day) = 0.3, independently each day. What is the probability of rain on both Monday and Tuesday?

    • 0.60
    • 0.06
    • 0.09
    • 0.30
  7. Under the same model (P(rain) = 0.3 each day, independent), what is the probability of rain on at least one of Monday, Tuesday and Wednesday?

    • 0.900
    • 0.027
    • 0.343
    • 0.657
  8. Real weather has positive day-to-day correlation. An independent model estimates consecutive rain probability as:

    • Too high
    • Too low
    • Unchanged
    • Exactly zero
  9. Which condition must hold for P(A intersection B) = P(A) * P(B) to apply?

    • Mutually exclusive events
    • Independent events
    • Exhaustive events
    • Dependent events
  10. What is a key practical limitation of computer-generated random numbers in probability simulations?

    • They are continuous
    • They are pseudo-random
    • They are symmetrical
    • They are skewed
  11. A model uses P(A) = 0.5 and P(B) = 0.4 with A and B independent. What is the probability that neither occurs?

    • 0.10
    • 0.20
    • 0.70
    • 0.30
  12. How is a theoretical probability model primarily evaluated against real-world situations?

    • Comparing observed frequencies
    • Calculating the mean
    • Assuming independence
    • Increasing trial numbers
  13. A fair die is rolled twice. What is the probability of exactly one six?

    • 11/36
    • 1/3
    • 5/18
    • 1/6
  14. Adding more realistic detail to a mathematical model involves balancing accuracy against which factor?

    • Simplicity
    • Significance
    • Independence
    • Variance
  15. A stock price is modelled to rise each day with probability 0.6, independently. What is the probability it rises on exactly 2 of 3 days?

    • 0.648
    • 0.288
    • 0.432
    • 0.216
  16. If P(A) = 0.3 and P(B) = 0.2, what is P(A ∩ B) under independence?

    • 0.15
    • 0.50
    • 0.10
    • 0.06
  17. How can a probability model assuming a constant call arrival rate be improved?

    • Use a Normal distribution
    • Ignore peak hours
    • Assume zero variance
    • Vary rate by time
  18. If defects cluster rather than occur independently, how does the proportion of defective batches change?

    • It stays constant
    • It increases
    • It decreases
    • It doubles
  19. P(A) = 0.2 and P(B) = 0.5 with A and B independent. Let C be the event that A or B occurs. What is P(C)?

    • 0.50
    • 0.70
    • 0.10
    • 0.60
  20. Four independent tests each succeed with probability 0.8. What is the probability all four succeed?

    • 0.2048
    • 0.4096
    • 0.3200
    • 0.8000

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