A service station has both self-service and full-service islands. On each island, there is a single regular unleaded pump with two hoses. Let X denote the number of hoses being used on the self-service island at a particular time, and let y denote the number of hoses on the full-service island in use at that time. The joint pmf of X and Y appears in the accompanying tabulation. p(x, y) у 0 1 0 0.10 0.03 0.02 1 0.06 0.20 0.08 2 0.06 0.14 0.31 (a) What is P(X= 1 and Y= 1)? P(X= 1 and Y = 1) = 0.20 (b) Compute P(X ≤ 1 and Y s 1). P(X ≤ 1 and Y≤ 1) = 0.39 (c) Give a word description of the event (X = 0 and Y 0). O One hose is in use on both islands. At least one hose is in use at both islands. O At most one hose is in use at both islands. O One hose is in use on one island. Compute the probability of this event. P(X 0 and Y 0) 0.73 (d) Compute the marginal pmf of X. 0 Px(x) 0.15 Compute the marginal pmf of Y. 0.34 0 2 Py(y) 0.22 Using px(x), what is P(X ≤ 1)? P(X ≤ 1) = 0.5 X ✓ 0.37 1 0.51 0.41 2 2

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...
icon
Related questions
Question
100%

just need ans for the wrong one.

## Understanding Joint PMF with a Service Station Example

A service station has both self-service and full-service islands. On each island, a single regular unleaded pump with two hoses is available. Let \( X \) denote the number of hoses being used on the self-service island at a particular time, and let \( Y \) denote the number of hoses on the full-service island in use at that time. The joint probability mass function (pmf) of \( X \) and \( Y \) is given in the following table:

| \( p(x,y) \) | \( y = 0 \) | \( y = 1 \) | \( y = 2 \) |
|--------------|------------|------------|------------|
| \( x = 0 \)  | 0.10       | 0.03       | 0.02       |
| \( x = 1 \)  | 0.06       | 0.20       | 0.08       |
| \( x = 2 \)  | 0.06       | 0.14       | 0.31       |

### Calculations and Interpretations

(a) **Probability of \( P(X = 1 \text{ and } Y = 1) \):**

\[ P(X = 1 \text{ and } Y = 1) = 0.20 \]

(b) **Probability of \( P(X \leq 1 \text{ and } Y \leq 1) \):**

\[ P(X \leq 1 \text{ and } Y \leq 1) = 0.39 \]

(c) **Description and Probability of the Event \( \{X \neq 0 \text{ and } Y \neq 0\} \):**

- **Description:** At least one hose is in use at both islands.
- **Computed Probability:** 

  \[ P(X \neq 0 \text{ and } Y \neq 0) = 0.73 \]

(d) **Marginal PMF Calculations:**

- **Marginal PMF of \( X \), \( p_X(x) \):**

  | \( x \) | 0    | 1    | 2    |
  |--------|------|------|------|
  | \( p_X(x) \) | 0.15 | 0
Transcribed Image Text:## Understanding Joint PMF with a Service Station Example A service station has both self-service and full-service islands. On each island, a single regular unleaded pump with two hoses is available. Let \( X \) denote the number of hoses being used on the self-service island at a particular time, and let \( Y \) denote the number of hoses on the full-service island in use at that time. The joint probability mass function (pmf) of \( X \) and \( Y \) is given in the following table: | \( p(x,y) \) | \( y = 0 \) | \( y = 1 \) | \( y = 2 \) | |--------------|------------|------------|------------| | \( x = 0 \) | 0.10 | 0.03 | 0.02 | | \( x = 1 \) | 0.06 | 0.20 | 0.08 | | \( x = 2 \) | 0.06 | 0.14 | 0.31 | ### Calculations and Interpretations (a) **Probability of \( P(X = 1 \text{ and } Y = 1) \):** \[ P(X = 1 \text{ and } Y = 1) = 0.20 \] (b) **Probability of \( P(X \leq 1 \text{ and } Y \leq 1) \):** \[ P(X \leq 1 \text{ and } Y \leq 1) = 0.39 \] (c) **Description and Probability of the Event \( \{X \neq 0 \text{ and } Y \neq 0\} \):** - **Description:** At least one hose is in use at both islands. - **Computed Probability:** \[ P(X \neq 0 \text{ and } Y \neq 0) = 0.73 \] (d) **Marginal PMF Calculations:** - **Marginal PMF of \( X \), \( p_X(x) \):** | \( x \) | 0 | 1 | 2 | |--------|------|------|------| | \( p_X(x) \) | 0.15 | 0
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 2 images

Blurred answer