1. Marginal and Conditional Probabilities Consider the following joint distribution. Xo|X1|X₂|| P(X0, X1, X₂) 000 0.100 001 0.200 0 1 0 1 1 0 0 1 0 0.000 0.150 0.150 0 120
1. Marginal and Conditional Probabilities Consider the following joint distribution. Xo|X1|X₂|| P(X0, X1, X₂) 000 0.100 001 0.200 0 1 0 1 1 0 0 1 0 0.000 0.150 0.150 0 120
A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Question 1 part A B and C please.
![# Marginal and Conditional Probabilities
Consider the following joint distribution.
| \(X_0\) | \(X_1\) | \(X_2\) | \(P(X_0, X_1, X_2)\) |
|---------|---------|---------|-----------------------|
| 0 | 0 | 0 | 0.100 |
| 0 | 0 | 1 | 0.200 |
| 0 | 1 | 0 | 0.000 |
| 0 | 1 | 1 | 0.150 |
| 1 | 0 | 0 | 0.150 |
| 1 | 0 | 1 | 0.120 |
| 1 | 1 | 0 | 0.100 |
| 1 | 1 | 1 | 0.180 |
Calculate the following probabilities:
(a) \( P(X_0 = 1, X_1 = 0, X_2 = 1) \)
(b) \( P(X_0 = 0, X_1 = 1) \)
(c) \( P(X_0 = 1) \)
(d) \( P(X_1 = 0 \mid X_0 = 1) \)
(e) \( P(X_1 = 0, X_2 = 1 \mid X_0 = 1) \)
(f) \( P(X_1 = 0 \mid X_0 = 1, X_2 = 1) \)
# Independence
In the joint distribution from the previous problem, is \(X_0\) independent of \(X_1\)? Justify your answer.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F672bf286-8abe-4b07-9ca1-0d5b2612956c%2F5a536e3f-1be9-4f3e-90c6-ccab86eec7ff%2Fp17tny_processed.png&w=3840&q=75)
Transcribed Image Text:# Marginal and Conditional Probabilities
Consider the following joint distribution.
| \(X_0\) | \(X_1\) | \(X_2\) | \(P(X_0, X_1, X_2)\) |
|---------|---------|---------|-----------------------|
| 0 | 0 | 0 | 0.100 |
| 0 | 0 | 1 | 0.200 |
| 0 | 1 | 0 | 0.000 |
| 0 | 1 | 1 | 0.150 |
| 1 | 0 | 0 | 0.150 |
| 1 | 0 | 1 | 0.120 |
| 1 | 1 | 0 | 0.100 |
| 1 | 1 | 1 | 0.180 |
Calculate the following probabilities:
(a) \( P(X_0 = 1, X_1 = 0, X_2 = 1) \)
(b) \( P(X_0 = 0, X_1 = 1) \)
(c) \( P(X_0 = 1) \)
(d) \( P(X_1 = 0 \mid X_0 = 1) \)
(e) \( P(X_1 = 0, X_2 = 1 \mid X_0 = 1) \)
(f) \( P(X_1 = 0 \mid X_0 = 1, X_2 = 1) \)
# Independence
In the joint distribution from the previous problem, is \(X_0\) independent of \(X_1\)? Justify your answer.
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