Lesson S4.2.1

S4.2.1 Normal distribution as a model Quiz: Pearson Edexcel Maths, Unit 14

20 questions

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Lesson S4.2.1, Normal distribution as a model: 20 multiple choice questions for the Pearson Edexcel Maths (9MA0), Unit 14: Statistical distributions, written with Revision Ninja.

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The 20 questions

  1. What is the shape of the probability density function for a normal distribution?

    • Bell-shaped
    • U-shaped
    • Rectangular
    • Skewed
  2. How many parameters are needed to fully define a normal distribution?

    • Two
    • One
    • Four
    • Three
  3. Which parameter determines the centre of a normal distribution curve?

    • Mean
    • Standard deviation
    • Variance
    • Median
  4. Which parameter determines the spread of a normal distribution curve?

    • Mean
    • Degrees of freedom
    • Standard deviation
    • Sample size
  5. What is the theoretical range of a continuous normal random variable?

    • Negative infinity to infinity
    • Zero to one
    • Negative one to one
    • Zero to infinity
  6. What is the total area under any normal distribution probability density curve?

    • 100
    • 0
    • 1
    • 0.5
  7. What is the relationship between the mean, median and mode in a normal distribution?

    • They are equal
    • Mean is largest
    • They are unrelated
    • Median is largest
  8. What type of variable is modelled by a normal distribution in statistics?

    • Categorical
    • Binomial
    • Continuous
    • Discrete
  9. Approximately what percentage of data lies within one standard deviation of the mean?

    • 68%
    • 50%
    • 95%
    • 99%
  10. Approximately what percentage of data lies within two standard deviations of the mean?

    • 99%
    • 90%
    • 68%
    • 95%
  11. Where are the inflection points of a standard normal curve located?

    • Plus or minus infinity
    • Plus or minus two
    • Zero
    • Plus or minus one
  12. If X is N(20, 16), what is the value of the standard deviation?

    • 16
    • 8
    • 4
    • 256
  13. If X is N(50, 9), what is the value of the variance?

    • 81
    • 3
    • 45
    • 9
  14. If X is N(10, 4), what is P(X = 10)?

    • 0
    • 1
    • 0.25
    • 0.5
  15. If a normal distribution has mean 30 and standard deviation 5, what is P(X > 30)?

    • 1
    • 0
    • 0.5
    • 0.34
  16. Which real-world dataset is typically modelled well by a normal distribution?

    • Income distribution
    • Rolls of a die
    • Shoe sizes
    • Adult heights
  17. What does standardisation convert a normal distribution variable into?

    • Z
    • X
    • T
    • Y
  18. What is the variance of the standard normal distribution Z?

    • 0.5
    • 0
    • 1
    • Square root of 2
  19. What is the mean of the standard normal distribution Z?

    • -1
    • 0
    • 1
    • 0.5
  20. What is the probability of a continuous normal random variable taking any exact single value?

    • Undefined
    • Infinity
    • Zero
    • One

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