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
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
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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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 \( x \).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6795bcee-481e-4cd9-9402-1dd9d1389a86%2F79576187-eba2-442e-931b-bc0c5a20931f%2Fe7b40sn_processed.png&w=3840&q=75)
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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