2) Consider each distribution. Determine if it is a valid probability distribution or not and explain your answer. b. 1 P(x) 0.25 0.60 0.15 P(x) 0.25 0.60 0.20
2) Consider each distribution. Determine if it is a valid probability distribution or not and explain your answer. b. 1 P(x) 0.25 0.60 0.15 P(x) 0.25 0.60 0.20
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![**Analyzing Probability Distribution Validity**
**Question:**
Consider each distribution. Determine if it is a valid probability distribution or not and explain your answer.
**Distribution a:**
\[
\begin{array}{|c|c|c|c|}
\hline
x & 0 & 1 & 2 \\
\hline
P(x) & 0.25 & 0.60 & 0.15 \\
\hline
\end{array}
\]
**Distribution b:**
\[
\begin{array}{|c|c|c|c|}
\hline
x & 0 & 1 & 2 \\
\hline
P(x) & 0.25 & 0.60 & 0.20 \\
\hline
\end{array}
\]
**Explanation:**
For a probability distribution to be valid, the sum of all probabilities \( P(x) \) must equal 1.
- **Distribution a:**
\[
P(x=0) + P(x=1) + P(x=2) = 0.25 + 0.60 + 0.15 = 1.00
\]
The sum equals 1, so this is a valid probability distribution.
- **Distribution b:**
\[
P(x=0) + P(x=1) + P(x=2) = 0.25 + 0.60 + 0.20 = 1.05
\]
The sum exceeds 1, so this is not a valid probability distribution.
Both distributions are evaluated on whether their probability values correctly sum up to 1. Only Distribution a meets this requirement.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6b5c2e56-3485-452b-8b4d-7d808cffa36c%2Fb79cbfcf-0152-4b54-a012-f8808d673d19%2Fmepvodm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Analyzing Probability Distribution Validity**
**Question:**
Consider each distribution. Determine if it is a valid probability distribution or not and explain your answer.
**Distribution a:**
\[
\begin{array}{|c|c|c|c|}
\hline
x & 0 & 1 & 2 \\
\hline
P(x) & 0.25 & 0.60 & 0.15 \\
\hline
\end{array}
\]
**Distribution b:**
\[
\begin{array}{|c|c|c|c|}
\hline
x & 0 & 1 & 2 \\
\hline
P(x) & 0.25 & 0.60 & 0.20 \\
\hline
\end{array}
\]
**Explanation:**
For a probability distribution to be valid, the sum of all probabilities \( P(x) \) must equal 1.
- **Distribution a:**
\[
P(x=0) + P(x=1) + P(x=2) = 0.25 + 0.60 + 0.15 = 1.00
\]
The sum equals 1, so this is a valid probability distribution.
- **Distribution b:**
\[
P(x=0) + P(x=1) + P(x=2) = 0.25 + 0.60 + 0.20 = 1.05
\]
The sum exceeds 1, so this is not a valid probability distribution.
Both distributions are evaluated on whether their probability values correctly sum up to 1. Only Distribution a meets this requirement.
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