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
-
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
-
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
-
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
-
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
-
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
-
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
-
If E(X) = 4 and Var(X) = 9, what is E(X^2)?
- 25
- 36
- 13
- 16
-
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)
-
A continuous random variable has pdf f(x) = 2x on [0, 1]. What is E(X)?
- 2/3
- 1/2
- 3/4
- 1/3
-
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
-
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
-
A continuous random variable is uniform on [2, 8]. What is its variance?
- 6
- 1.5
- 3
- 9
-
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
-
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
-
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
-
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
-
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
-
A random variable X has Var(X) = 9. Let Y = (X - 4)/3. What is Var(Y)?
- 3
- 1/3
- 1
- 0
-
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
-
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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