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Title: Properties of the Expectation
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Series: Probability Theory
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YouTube-Title: Probability Theory 15 | Properties of the Expectation
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Bright video: https://youtu.be/FGoEgJYsNRg
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Dark video: https://youtu.be/HsP6Fd46YeA
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Quiz: Test your knowledge
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Dark-PDF: Download PDF version of the dark video
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Print-PDF: Download printable PDF version
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Thumbnail (bright): Download PNG
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Thumbnail (dark): Download PNG
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Subtitle on GitHub: pt15_sub_eng.srt missing
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Timestamps (n/a)
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Subtitle in English (n/a)
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Quiz Content
Q1: Let $(\Omega, \mathcal{A}, \mathbb{P})$ be a probability space and $X \colon \Omega \rightarrow \mathbb{R}$ be a random variable with $X \sim \mathrm{Exp}(1)$. What is a correct pdf for $\mathbb{P}_X$?
A1: $$f_X(x) = \begin{cases} -e^{-x} , , & x \geq 0 \ e^{-x} , , & x < 0\end{cases}$$
A2: $$f_X(x) = \begin{cases} e^{-x} , , & x > 0 \ 0 , , & x \leq 0\end{cases}$$
A3: $$f_X(x) = \begin{cases} -e^{-x} , , & x > 0 \ 0 , , & x \leq 0\end{cases}$$
A4: $$f_X(x) = \begin{cases} -e^{-x} , , & x > 0 \ 1 , , & x \leq 0\end{cases}$$
Q2: Let $(\Omega, \mathcal{A}, \mathbb{P})$ be a probability space and $X \colon \Omega \rightarrow \mathbb{R}$ be a random variable with $X \sim \mathrm{Exp}(1)$. What is $\mathbb{E}(X)$?
A1: $1$
A2: $\frac{1}{2}$
A3: $-\frac{1}{2}$
A4: $\frac{1}{4}$
Q3: Let $X \sim \mathrm{Exp}(2)$ and $Y \sim \mathrm{Exp}(3)$ be two independent random variables. What is $\mathbb{E}(X \cdot Y )$?
A1: $\frac{1}{6}$
A2: $\frac{1}{5}$
A3: $-\frac{1}{2}$
A4: $\frac{1}{4}$
A5: $\frac{1}{3}$
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Last update: 2024-10