Lesson S3.3.1

S3.3.1 Modelling with probability Quiz: Pearson Edexcel Maths, Unit 13

20 questions

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Lesson S3.3.1, Modelling with probability: 20 multiple choice questions for the Pearson Edexcel Maths (9MA0), Unit 13: Probability, written with Revision Ninja.

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The 20 questions

  1. What common probability assumption is often questioned when modelling with a six-sided die?

    • Fairness
    • Independence
    • Normality
    • Randomness
  2. Which distribution is characterised by a fixed number of independent trials with two possible outcomes?

    • Uniform distribution
    • Binomial distribution
    • Poisson distribution
    • Normal distribution
  3. What notation represents a binomial distribution with 10 trials and probability of success 0.3?

    • N(10, 0.3)
    • P(10, 0.3)
    • U(10, 0.3)
    • B(10, 0.3)
  4. Which continuous distribution has a symmetrical bell-shaped curve defined by mean and variance?

    • Normal distribution
    • Binomial distribution
    • Exponential distribution
    • Discrete uniform
  5. What notation is used for a Normal distribution with mean mu and variance sigma squared?

    • N(mu, sigma squared)
    • P(mu, sigma squared)
    • B(mu, sigma squared)
    • U(mu, sigma)
  6. When critiquing a probability model, what effect do more realistic assumptions typically have on complexity?

    • Eliminates variables
    • Decreases complexity
    • Increases complexity
    • Removes uncertainty
  7. What is true for the probability of each outcome in a discrete uniform distribution?

    • Random probabilities
    • Decreasing probabilities
    • Increasing probabilities
    • Equal probabilities
  8. What type of distribution model is typically used for coin flips and success-failure scenarios?

    • Normal
    • Uniform
    • Continuous
    • Binomial
  9. In a binomial model X ~ B(n, p), what does parameter p strictly represent?

    • Mean of distribution
    • Probability of success
    • Standard deviation
    • Number of trials
  10. When using a Normal distribution as a model, what specific knowledge of its probability density function is needed?

    • None required
    • Derivation formula
    • Integration bounds
    • Inflection formula
  11. Which mathematical feature of the Normal distribution must students recognise regarding its visual appearance?

    • Discreteness
    • Periodicity
    • Skewness
    • Symmetry
  12. What tool are students expected to use to find cumulative binomial probabilities in exams?

    • Probability tables
    • First principles
    • Logarithm charts
    • Calculator
  13. What tool are students expected to use to find probabilities connected with the Normal distribution?

    • Manual integration
    • Calculator
    • Spreadsheet software
    • Statistical tables
  14. Solving problems with the Normal distribution in exams may occasionally involve what type of algebra?

    • Differential equations
    • Proof by induction
    • Matrix inversion
    • Simultaneous equations
  15. What real-world aspect is often paired conceptually with the mean and standard deviation of a Normal distribution?

    • Scatter diagrams
    • Histograms
    • Box plots
    • Pie charts
  16. Is the derivation of the mean and variance formula required for the Normal distribution?

    • Only for variance
    • Yes
    • Only for mean
    • No
  17. When evaluating a probability model, what should be done regarding initial assumptions?

    • Ignore completely
    • Maximise variables
    • Assume absolute truth
    • Critique appropriateness
  18. What does parameter n represent in the binomial distribution notation B(n, p)?

    • Number of trials
    • Mean value
    • Standard deviation
    • Probability of success
  19. At which specific coordinate points do the points of inflection occur on a normal distribution curve?

    • x = µ ± 2σ
    • x = µ ± σ
    • x = µ
    • x = ± σ
  20. What key discrete distribution involves equally likely outcomes for a finite set of values?

    • Normal distribution
    • Binomial distribution
    • Discrete uniform
    • Continuous uniform

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