1. A certain market has both an express checkout line and a regular checkout line. Let X denote the number of customers in line at the express checkout at a particular time of day, and Y be the number of customers in line at the regular checkout at the same time. The joint pmf of X and Y is given by p(x, y) X y 1 2 0 0 0.10 0.04 0.02 1 0.08 0.20 0.06 2 0.06 0.14 0.30 Find the distribution, expected value, standard deviation of X? What is the probability P(X + Y ≤ 2) and the conditional probability P(X + Y ≤ 2X ≤ 1)? Find P(X ≤ 1,Y ≤ 1)? Are X and Y independent? Find the covariance of X and Y. Are X and Y independent?
1. A certain market has both an express checkout line and a regular checkout line. Let X denote the number of customers in line at the express checkout at a particular time of day, and Y be the number of customers in line at the regular checkout at the same time. The joint pmf of X and Y is given by p(x, y) X y 1 2 0 0 0.10 0.04 0.02 1 0.08 0.20 0.06 2 0.06 0.14 0.30 Find the distribution, expected value, standard deviation of X? What is the probability P(X + Y ≤ 2) and the conditional probability P(X + Y ≤ 2X ≤ 1)? Find P(X ≤ 1,Y ≤ 1)? Are X and Y independent? Find the covariance of X and Y. Are X and Y independent?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Transcribed Image Text:**Title: Joint Probability Mass Function and Independence in Queue Analysis**
**Context:**
A certain market has both an express checkout line and a regular checkout line. Let \( X \) denote the number of customers in line at the express checkout at a particular time of day, and \( Y \) be the number of customers in line at the regular checkout at the same time. The joint probability mass function (pmf) of \( X \) and \( Y \) is provided in the table below.
**Table: Joint PMF of \( X \) and \( Y \)**
| \( p(x, y) \) | \( y = 0 \) | \( y = 1 \) | \( y = 2 \) |
|---------------|------------|------------|------------|
| \( x = 0 \) | 0.10 | 0.04 | 0.02 |
| \( x = 1 \) | 0.08 | 0.20 | 0.06 |
| \( x = 2 \) | 0.06 | 0.14 | 0.30 |
**Questions:**
1. **Find the distribution, expected value, and standard deviation of \( X \).**
2. **Calculate the probability \( P(X + Y \leq 2) \) and the conditional probability \( P(X + Y \leq 2 | X \leq 1) \).**
3. **Determine \( P(X \leq 1, Y \leq 1) \). Are \( X \) and \( Y \) independent?**
4. **Find the covariance of \( X \) and \( Y \). Are \( X \) and \( Y \) independent?**
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This analysis provides insights into customer behavior at checkout lines, helping in efficient queue management and resource allocation.
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