Complete the following. (If necessary, consult a list of formlas.) (a) Find the expectation E (X) of X. E (X) = ] (b) Find the variance Var(X) of X. Var(x) = 1

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Let \( X \) be a random variable with the following probability distribution:

\[
\begin{array}{|c|c|}
\hline
\text{Value } x \text{ of } X & P(X = x) \\
\hline
20 & 0.05 \\
30 & 0.30 \\
40 & 0.20 \\
50 & 0.10 \\
60 & 0.25 \\
70 & 0.10 \\
\hline
\end{array}
\]

**Complete the following. (If necessary, consult a list of formulas.)**

(a) Find the expectation \( E(X) \) of \( X \).

\[
E(X) = \underline{\phantom{E(X)}}
\]

(b) Find the variance \( \text{Var}(X) \) of \( X \).

\[
\text{Var}(X) = \underline{\phantom{\text{Var}(X)}}
\]
Transcribed Image Text:Let \( X \) be a random variable with the following probability distribution: \[ \begin{array}{|c|c|} \hline \text{Value } x \text{ of } X & P(X = x) \\ \hline 20 & 0.05 \\ 30 & 0.30 \\ 40 & 0.20 \\ 50 & 0.10 \\ 60 & 0.25 \\ 70 & 0.10 \\ \hline \end{array} \] **Complete the following. (If necessary, consult a list of formulas.)** (a) Find the expectation \( E(X) \) of \( X \). \[ E(X) = \underline{\phantom{E(X)}} \] (b) Find the variance \( \text{Var}(X) \) of \( X \). \[ \text{Var}(X) = \underline{\phantom{\text{Var}(X)}} \]
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