Lesson SD4-SD5

SD4-SD5 Mean, variance and linear functions of continuous variables Quiz: AQA Further Maths, Unit 4

20 questions

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Lesson SD4-SD5, Mean, variance and linear functions of continuous variables: 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. For a continuous random variable with pdf f(x), which integral gives E(X)?

    • Integral of x squared f(x) dx
    • Integral of f(x) dx
    • Integral of x f(x) dx
    • Integral of f(x) divided by x dx
  2. Which integral gives E(X^2) for a continuous random variable X?

    • Integral of x f(x) dx squared
    • Integral of x squared f(x) dx
    • Integral of 2x f(x) dx
    • Integral of x f(x)^2 dx
  3. Which formula gives the variance of a continuous random variable X?

    • Var(X) = E(X^2) + [E(X)]^2
    • Var(X) = [E(X)]^2 - E(X^2)
    • Var(X) = E(X) - [E(X)]^2
    • Var(X) = E(X^2) - [E(X)]^2
  4. For constants a and b, what is E(aX + b) for a continuous random variable X?

    • a E(X^2) + b
    • a E(X) + b
    • E(X) + a + b
    • a E(X) + b squared
  5. For constants a and b, what is Var(aX + b) for a continuous random variable X?

    • a^2 Var(X)
    • a Var(X) + b
    • a^2 Var(X) + b^2
    • a Var(X)
  6. For a continuous random variable X and a function g, which integral gives E(g(X))?

    • Integral of g(x) dx
    • Integral of x g(x) f(x) dx
    • Integral of g(x) f(x) dx
    • g(E(X))
  7. The standard deviation of a continuous random variable is:

    • The variance squared
    • The positive square root of the variance
    • The integral of f(x) squared
    • The variance divided by the mean
  8. For the pdf f(x) = 2x on [0, 1], what is E(X)?

    • 3/4
    • 1/3
    • 1/2
    • 2/3
  9. For the pdf f(x) = 2x on [0, 1], what is E(X^2)?

    • 1/2
    • 2/3
    • 1/4
    • 1/3
  10. For the pdf f(x) = 2x on [0, 1], what is Var(X)?

    • 1/18
    • 1/12
    • 2/9
    • 1/6
  11. A continuous random variable X is uniform on [0, 4] with pdf 1/4. What is E(X)?

    • 8/3
    • 2
    • 1
    • 4
  12. A continuous random variable X is uniform on [0, 4] with pdf 1/4. What is Var(X)?

    • 1/3
    • 2
    • 16/3
    • 4/3
  13. For the pdf f(x) = 2x on [0, 1], what is E(3X + 1)?

    • 3
    • 4
    • 2/3
    • 2
  14. For the pdf f(x) = 2x on [0, 1], what is Var(3X + 1)?

    • 1/2
    • 3/2
    • 1/6
    • 1/18
  15. For the pdf f(x) = 3x^2 on [0, 1], what is E(X)?

    • 1/2
    • 1
    • 3/4
    • 2/3
  16. For the pdf f(x) = 2x on [0, 1], what is the standard deviation of X, to 3 decimal places?

    • 0.333
    • 0.707
    • 0.167
    • 0.236
  17. A continuous random variable X is uniform on [0, 4]. Let Y = 2X - 1. What is E(Y)?

    • 1
    • 3
    • 7
    • 5
  18. A continuous random variable X is uniform on [0, 4]. Let Y = 2X - 1. What is Var(Y)?

    • 16/3
    • 16
    • 8/3
    • 4/3
  19. A continuous random variable X has pdf f(x) = 1/4 on [0, 4]. What is E(X^2)?

    • 16/3
    • 4
    • 8/3
    • 16
  20. For the pdf f(x) = 2x on [0, 1], what is E(X^3)?

    • 1/2
    • 2/3
    • 2/5
    • 1/3

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