Lesson 4B.2.3-4B.2.4

4B.2.3-4B.2.4 Mean and variance of continuous random variables Quiz: Pearson Edexcel Further Maths, Unit 19

20 questions

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Lesson 4B.2.3-4B.2.4, Mean and variance of continuous random variables: 20 multiple choice questions for the Pearson Edexcel Further Maths (9FM0), Unit 19: Continuous random variables, written with Revision Ninja.

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The 20 questions

  1. Which expression gives the mean E(X) of a continuous random variable with pdf f(x)?

    • The integral of F(x) with respect to x over all x
    • The integral of f(x) with respect to x over all x, which equals 1
    • The integral of x^2 f(x) with respect to x over all x
    • The integral of x f(x) with respect to x over all x
  2. Which expression gives the variance of a continuous random variable X?

    • E(X) minus [E(X)]^2
    • E(X^2) plus [E(X)]^2
    • [E(X)]^2 minus E(X^2)
    • E(X^2) minus [E(X)]^2
  3. What is the mode of a continuous random variable?

    • The average of x weighted by f(x)
    • The value of x at which the pdf f(x) is maximum
    • The value m for which F(m) = 0.5
    • The value of x at which f(x) equals 0
  4. What is the median of a continuous random variable X?

    • The value m such that F(m) = 0.5
    • The value m at which the density f(m) equals 0.5
    • The mean of the middle 50 per cent of the distribution
    • The value of x where F(x) equals 1
  5. For a continuous uniform distribution on [a, b], what is the variance?

    • (b - a)^2 / 4
    • (b - a) / 2
    • (b - a)^2 / 12
    • (a + b)^2 / 12
  6. A distribution is negatively skewed when which relationship holds between the mean and the median?

    • The mean is less than the median
    • The mean is greater than the median
    • The mode is greater than the mean
    • The mean equals the median
  7. If E(X) = 4 and Var(X) = 9, what is E(X^2)?

    • 25
    • 36
    • 13
    • 16
  8. For constants a and b, which expression gives E(aX + b)?

    • a E(X) b
    • a E(X) + b^2
    • a E(X) + b
    • a + b E(X)
  9. A continuous random variable has pdf f(x) = 2x on [0, 1]. What is E(X)?

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

    • 3/16
    • 9/16
    • 3/5
    • 3/80
  11. A continuous random variable has E(X) = 3/4 when its pdf is f(x) = 3x^2 on [0, 1]. What is E(3X + 2)?

    • 17/4
    • 9/4
    • 13/4
    • 11/4
  12. A continuous random variable is uniform on [2, 8]. What is its variance?

    • 6
    • 1.5
    • 3
    • 9
  13. A continuous random variable has pdf f(x) = 6x(1 - x) on [0, 1]. What is Var(X)?

    • 0.25
    • 0.05
    • 0.3
    • 0.1
  14. A continuous random variable has pdf f(x) = 2x on [0, 1]. What is E(X^2)?

    • 1/3
    • 1/4
    • 1/2
    • 2/3
  15. A continuous random variable has pdf f(x) = 2x on [0, 1]. Which statement about its skewness is correct?

    • Zero, because the distribution is symmetric about its mean
    • Negative, since the mean 2/3 is below the median of about 0.707
    • Positive, since the median is below the mean
    • Positive, since the mode of 1 lies below the mean
  16. A continuous random variable has pdf f(x) = (3/8) x^2 on [0, 2]. What is E(X)?

    • 3/2
    • 2
    • 6/5
    • 4/3
  17. A continuous random variable has pdf f(x) = (3/8) x^2 on [0, 2]. What is Var(X)?

    • 2.4
    • 0.15
    • 0.4
    • 0.25
  18. A random variable X has Var(X) = 9. Let Y = (X - 4)/3. What is Var(Y)?

    • 3
    • 1/3
    • 1
    • 0
  19. A continuous random variable has pdf f(x) = 2x on [0, 1]. What is its median?

    • 0.667
    • 1/3
    • 0.5
    • 1/sqrt(2), about 0.707
  20. A continuous random variable has mode 2, median 3 and mean 4. Which statement describes its skewness?

    • Positive skew, since the mean is greater than the median
    • Zero skew, since the three measures are different
    • The skewness cannot be determined from these values
    • Negative skew, since the mode is less than the mean

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