Free Practice Quiz Question List

5 Expectation and Variability Online Quiz Questions

Use this free practice quiz with 20 questions to review 5 Expectation and Variability, test your knowledge, and prepare for your next test or exam.

20 questions
01
Choose one
1 point

Which statement correctly describes the expectation of a random variable?

  1. A

    The expected value must be one of the possible outcomes.

  2. B

    The expected value can lie between possible outcomes and need not itself be attainable.

  3. C

    The expected value is always the most probable outcome.

  4. D

    The expected value is the same as the variance.

02
Choose one
1 point

If E[X]=4E[X]=4, what is E[2X+3]E[2X+3]?

  1. A

    11

  2. B

    8

  3. C

    7

  4. D

    5

03
Choose one
1 point

Two independent measurements have standard deviations 3 and 4. What is the standard deviation of their sum?

  1. A

    7

  2. B

    25

  3. C

    5

  4. D

    12

04
Choose all
1 point

Select all statements that are correct about sums of random variables.

  1. A

    The expectation of a sum equals the sum of the expectations without requiring independence.

  2. B

    If independent variables have the same variance, their sum has that same variance.

  3. C

    Independence makes the covariance terms in the variance of a sum equal to zero.

  4. D

    The standard deviations of independent variables always add directly.

05
Choose all
1 point

Select all statements that correctly describe variance and standard deviation.

  1. A

    Variance is measured in the same units as the variable.

  2. B

    Adding a constant does not change variance.

  3. C

    Standard deviation is measured in squared units.

  4. D

    Multiplying a variable by aa multiplies its variance by a2a^2.

06
True or false
1 point

True or false: The variance can be computed as E[X2]−(E[X])2E[X^2]-\bigl(E[X]\bigr)^2.

  1. A

    True

  2. B

    False

07
True or false
1 point

If two random variables have covariance zero, they must be independent.

  1. A

    True

  2. B

    False

08
Written response
1 point

For a fair six-sided die, what is the expected value E[X]E[X]? Enter the value as a decimal.

09
Fill in the blank
1 point

If two random variables are independent and their expectations exist, their is zero.

10
Fill in the blank
1 point

If a measurement is recorded in meters, its variance is measured in .

11
Open ended
1 point

Explain how the expectation and standard deviation of a sum of nn random variables behave. Include the role of dependence, and state the results when the variables are mutually independent and identically distributed.

12
Choose one
1 point

Suppose Var⁡(X)=9\operatorname{Var}(X)=9, Var⁡(Y)=16\operatorname{Var}(Y)=16, and Cov⁡(X,Y)=2\operatorname{Cov}(X,Y)=2. What is Var⁡(X+Y)\operatorname{Var}(X+Y)?

  1. A

    21

  2. B

    25

  3. C

    29

  4. D

    41

13
Choose one
1 point

A fair six-sided die is rolled repeatedly. What is the expected value of the outcome on one roll?

  1. A

    3

  2. B

    3.5

  3. C

    4

  4. D

    6

14
True or false
1 point

True or false: The equality E[X+Y]=E[X]+E[Y]E[X+Y]=E[X]+E[Y] requires XX and YY to be independent.

  1. A

    True

  2. B

    False

15
Choose one
1 point

If Var⁡(X)=v\operatorname{Var}(X)=v, which expression gives Var⁡(2X+3)\operatorname{Var}(2X+3)?

  1. A

    Var⁡(X)\operatorname{Var}(X)

  2. B

    2Var⁡(X)2\operatorname{Var}(X)

  3. C

    4Var⁡(X)4\operatorname{Var}(X)

  4. D

    5Var⁡(X)5\operatorname{Var}(X)

16
Written response
1 point

Two variables tend to be above their means at the same time and below their means at the same time. What is the sign of their covariance?

17
Choose one
1 point

A random variable measures length in meters. In what units is its variance measured?

  1. A

    Meters

  2. B

    Meters per second

  3. C

    Dimensionless units

  4. D

    Square meters

18
Written response
1 point

Two independent measurements have standard deviations 3 and 4. What is the variance of their sum?

19
Choose one
1 point

Which statement correctly describes the relationship between independence and covariance?

  1. A

    Zero covariance does not generally imply independence.

  2. B

    Zero covariance always implies independence.

  3. C

    Independence requires covariance to be positive.

  4. D

    Covariance can be zero only when both variables are constant.

20
Written response
1 point

A sample contains the observations 11, 22, and 33. What is the sample variance s2s^2, using the denominator n−1n-1? Enter the value as a decimal.