Given the probability distributions shown below, complete the following parts. a. Compute the expected value for each distribution A and B. b. Compute the standard deviation for distribution A and B. c. What is the probability that x will be at least 3 in Distribution A and Distribution B?.
Given the probability distributions shown below, complete the following parts. a. Compute the expected value for each distribution A and B. b. Compute the standard deviation for distribution A and B. c. What is the probability that x will be at least 3 in Distribution A and Distribution B?.
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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Given the
a. Compute the expected value for each distribution A and B.
b. Compute the standard deviation for distribution A and B.
c. What is the probability that x will be at least 3 in Distribution A and Distribution B?.

Transcribed Image Text:### Comparing Discrete Distributions
This analysis presents two discrete probability distributions, A and B. Each distribution provides the probability \( P(X = x_i) \) for different \( x_i \) values ranging from 0 to 4.
#### Distribution A
- **\( x_i = 0 \):** Probability \( P(X = 0) = 0.06 \)
- **\( x_i = 1 \):** Probability \( P(X = 1) = 0.11 \)
- **\( x_i = 2 \):** Probability \( P(X = 2) = 0.15 \)
- **\( x_i = 3 \):** Probability \( P(X = 3) = 0.21 \)
- **\( x_i = 4 \):** Probability \( P(X = 4) = 0.47 \)
#### Distribution B
- **\( x_i = 0 \):** Probability \( P(X = 0) = 0.47 \)
- **\( x_i = 1 \):** Probability \( P(X = 1) = 0.21 \)
- **\( x_i = 2 \):** Probability \( P(X = 2) = 0.15 \)
- **\( x_i = 3 \):** Probability \( P(X = 3) = 0.11 \)
- **\( x_i = 4 \):** Probability \( P(X = 4) = 0.06 \)
### Analysis
- **Distribution A** gradually increases in probability as \( x_i \) increases, reaching a peak at \( x_i = 4 \).
- **Distribution B** shows a reverse pattern, with the highest probability at \( x_i = 0 \) and decreasing as \( x_i \) increases.
This comparison illustrates contrasting probability patterns between the two distributions, highlighting different tendencies of occurrence for these discrete events.
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