Expected Value — Hard Practice Quiz
A Probability cheat sheet for Expected Value — every key formula with its symbols defined — plus a hard-level practice quiz to test recall.
Formulas & key concepts
Expected Value (Discrete)
Linearity of Expectation
Where: \(a, b\) = constants
Variance
Standard Deviation
Practice quiz
A discrete random variable $X$ has the following probability distribution: $P(X=1) = 0.2$, $P(X=2) = 0.3$, $P(X=3) = 0.5$. If a new random variable $Y$ is defined as $Y = 4X - 7$, what is the expected value of $Y$?
- $2.2$
- $9.2$
- $1.2$
- $0.2$
Answer: $2.2$
Given that $E(X) = 5$ and $E(X^2) = 30$, what is the standard deviation of the random variable $Y = -2X + 10$?
- $2\sqrt{5}$
- $\sqrt{5}$
- $10$
- $5\sqrt{2}$
Answer: $2\sqrt{5}$
A random variable $X$ has a variance of $\text{Var}(X) = 9$. If a new random variable $Z$ is defined as $Z = \frac{X}{3} - 5$, what is the variance of $Z$?
- $1$
- $3$
- $9$
- $0$
Answer: $1$
For a discrete random variable $X$, $P(X=0) = 0.4$, $P(X=1) = 0.3$, and $P(X=2) = 0.3$. Calculate $E(X^2)$ and then use it to find $\text{Var}(X)$.
- $0.69$
- $1.5$
- $0.81$
- $0.9$
Answer: $0.69$
If $E(X) = \mu$ and $\text{Var}(X) = \sigma^2$, what is $E((X - \mu)^2)$?
- $\sigma^2$
- $\mu^2$
- $0$
- $E(X^2)$
Answer: $\sigma^2$
A random variable $X$ has $E(X) = 4$ and $\sigma(X) = 3$. What is $E(X^2)$?
- $25$
- $16$
- $9$
- $7$
Answer: $25$
Consider a random variable $X$ with $E(X) = 0$. Which of the following statements is always true?
- $E(X^2) = \text{Var}(X)$
- $\text{Var}(X) = 0$
- $X$ must be $0$
- $E(X^2) < 0$
Answer: $E(X^2) = \text{Var}(X)$
A fair six-sided die is rolled. Let $X$ be the number rolled. If you win $2X-1$ dollars for each roll, what is the standard deviation of your winnings?
- $\sqrt{\frac{35}{3}}$
- $\sqrt{\frac{35}{12}}$
- $2\sqrt{\frac{35}{12}}$
- $3.5$
Answer: $\sqrt{\frac{35}{3}}$
If $E(X) = 10$ and $\text{Var}(X) = 4$, what is the expected value of $(X+1)^2$?
- $125$
- $104$
- $121$
- $100$
Answer: $125$
Let $X$ be a random variable. If $Y = aX + b$, where $a$ and $b$ are constants, derive an expression for $\text{Var}(Y)$ in terms of $\text{Var}(X)$.
- $a^2\text{Var}(X)$
- $a\text{Var}(X)+b$
- $\text{Var}(X)+b^2$
- $a^2\text{Var}(X)+b^2$
Answer: $a^2\text{Var}(X)$
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