7. A discrete random variable, X, has the following probability distribution: X P(X) _0.1 0.2 (a) (b) (c) xxlda 2 3 What is the probability that X is not more than 1? What is the probability that X is at least 2? Compute E(x), the expected value of x. 0.4 0.3

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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**Problem 7: Probability Distribution of a Discrete Random Variable**

A discrete random variable, \( X \), has the following probability distribution:

\[
\begin{array}{c|c}
X & P(X) \\
\hline
0 & 0.1 \\
1 & 0.2 \\
2 & 0.4 \\
3 & 0.3 \\
\end{array}
\]

**Tasks:**

(a) What is the probability that \( X \) is not more than 1?

(b) What is the probability that \( X \) is at least 2?

(c) Compute \( E(x) \), the expected value of \( x \).

(d) Compute \( \sigma^2 \), the variance of \( x \).

(e) Compute \( \sigma \), the standard deviation of \( x \).
Transcribed Image Text:**Problem 7: Probability Distribution of a Discrete Random Variable** A discrete random variable, \( X \), has the following probability distribution: \[ \begin{array}{c|c} X & P(X) \\ \hline 0 & 0.1 \\ 1 & 0.2 \\ 2 & 0.4 \\ 3 & 0.3 \\ \end{array} \] **Tasks:** (a) What is the probability that \( X \) is not more than 1? (b) What is the probability that \( X \) is at least 2? (c) Compute \( E(x) \), the expected value of \( x \). (d) Compute \( \sigma^2 \), the variance of \( x \). (e) Compute \( \sigma \), the standard deviation of \( x \).
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  • Compute σ2, the variance of x.
  • Compute σ, the standard deviation of x.
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