Which of the following theorems or concepts are referenced in the entire question? (a) i.i.d. (b) Weak Law of Large Numbers (c) Central Limit Theorem Select all possible options that apply. C What would the value of a be? number (3 significant figures) ET с Calculate (your answer should be the same regardless of whatever c value you found above). EL] number (3 significant figures) ET] (your answer should be the same regardless of whatever c value Calculate you found above). XT²] = number (3 significant figures) C

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Statistics for CS

Which of the following theorems or concepts are referenced in the entire question?

- [ ] (a) i.i.d.
- [ ] (b) Weak Law of Large Numbers
- [ ] (c) Central Limit Theorem

Select all possible options that apply.

---

What would the value of \( c \) be?

\( c = \) [text box for number (3 significant figures)]

---

Calculate \(\frac{\mathbb{E}[X]}{c}\) (your answer should be the same regardless of whatever \( c \) value you found above).

\(\frac{\mathbb{E}[X]}{c} = \) [text box for number (3 significant figures)]

---

Calculate \(\frac{\mathbb{E}[X^2]}{c}\) (your answer should be the same regardless of whatever \( c \) value you found above).

\(\frac{\mathbb{E}[X^2]}{c} =\) [text box for number (3 significant figures)]
Transcribed Image Text:Which of the following theorems or concepts are referenced in the entire question? - [ ] (a) i.i.d. - [ ] (b) Weak Law of Large Numbers - [ ] (c) Central Limit Theorem Select all possible options that apply. --- What would the value of \( c \) be? \( c = \) [text box for number (3 significant figures)] --- Calculate \(\frac{\mathbb{E}[X]}{c}\) (your answer should be the same regardless of whatever \( c \) value you found above). \(\frac{\mathbb{E}[X]}{c} = \) [text box for number (3 significant figures)] --- Calculate \(\frac{\mathbb{E}[X^2]}{c}\) (your answer should be the same regardless of whatever \( c \) value you found above). \(\frac{\mathbb{E}[X^2]}{c} =\) [text box for number (3 significant figures)]
Suppose student Ana is running for a charity and asks her friends to chip in the donation. Suppose each friend donates independently, and the donated value \( T_i \) is a random variable with the following probability density:

\[
p(T_i = t_i) = 
\begin{cases} 
c & t_i \in [5, 10] \text{ dollars} \\ 
c & t_i \in [35, 40] \text{ dollars} \\ 
0 & \text{otherwise} 
\end{cases}
\]

Let's assume \( T_i \)'s are mutually independent and each donation is a continuous random variable given they're using electronic transfer. Ana requested from 150 friends for the donation. Let \( X \) be the total amount in dollars Ana collected from these 150 friends. You need to simplify for this problem.
Transcribed Image Text:Suppose student Ana is running for a charity and asks her friends to chip in the donation. Suppose each friend donates independently, and the donated value \( T_i \) is a random variable with the following probability density: \[ p(T_i = t_i) = \begin{cases} c & t_i \in [5, 10] \text{ dollars} \\ c & t_i \in [35, 40] \text{ dollars} \\ 0 & \text{otherwise} \end{cases} \] Let's assume \( T_i \)'s are mutually independent and each donation is a continuous random variable given they're using electronic transfer. Ana requested from 150 friends for the donation. Let \( X \) be the total amount in dollars Ana collected from these 150 friends. You need to simplify for this problem.
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