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ZWMath›Probability and statistics›Random variables›Expected value›ZW-EXPECTED-VALUE-005
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AreaProbability and statisticsCourseProbability and statisticsTopicRandom variables
Probability foundations6
  • Sample space
  • Event
  • Probability measure
  • Classical probability
  • Addition rule
  • Permutations and combinations
Conditional probability4
  • Conditional probability
  • Independence of events
  • Law of total probability
  • Bayes' theorem
Random variables7
  • Random variable
  • Probability mass function
  • Probability density function
  • Cumulative distribution function
  • Expected value
  • Variance
  • Covariance
Distributions6
  • Bernoulli distribution
  • Binomial distribution
  • Poisson distribution
  • Uniform distribution
  • Exponential distribution
  • Normal distribution
Limit theorems3
  • Chebyshev inequality
  • Law of large numbers
  • Central limit theorem
Statistical inference6
  • Random sample
  • Sample mean
  • Estimator
  • Confidence interval
  • Hypothesis test
  • p-value

Exercise · ZW-EXPECTED-VALUE-005 · ★☆☆ Basic

If \(E[X]=3\), what is \(E[2X+5]\)?

Choose one option.

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  • C. \(11\)

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Explanation

By linearity, \(E[2X+5]=2E[X]+5=11\). The value 16 comes from also multiplying the constant by 2.

Study Probability and statistics in ZWMath →

Review the concept: Expected value

The expectation \(E[X]\) of a random variable \(X\) is the average of its possible values, each weighted by its probability.

\[\begin{aligned}E[X]&=\sum_x x\,p(x)\\ E[X]&=\int_{-\infty}^{\infty}x\,f(x)\,dx\end{aligned}\]

More practice problems: expected value

  • ZW-EXPECTED-VALUE-001 X takes the values 0, 1 and 2 with probabilities 0.2, 0.5 and 0.3. Compute E[X].
  • ZW-EXPECTED-VALUE-002 A fair die is rolled and X is the number shown. What is E[X]?
  • ZW-EXPECTED-VALUE-003 X has density f(x)=2x on [0,1] and 0 elsewhere. Compute E[X].
  • ZW-EXPECTED-VALUE-004 In a game you win 10 pesos with probability 0.2 and lose 2 with probability 0.8. What is the expect…
  • ZW-EXPECTED-VALUE-006 With f(x)=2x on [0,1], compute E[X^2].
  • ZW-EXPECTED-VALUE-007 Which statement about E[X] is correct?
  • ZW-EXPECTED-VALUE-008 X equals -1, 0 or 1 with probabilities tfrac14,tfrac12,tfrac14. Compute E[X^2].
  • ZW-EXPECTED-VALUE-009 Two fair dice are rolled and S is the sum. Using linearity, what is E[S]?

← ZW-EXPECTED-VALUE-004 ZW-EXPECTED-VALUE-006 →

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