the die are labelled-3,-1,0, 1, 2 and 5. the game, X, is the number which lands face up after the table shows the probability distribution for X. Score x -3 -1 0. 1 1 3 1 2 P(X=x) 18 18 18 18 18 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
icon
Concept explainers
Question
i need help eith all of it
### Educational Resource: Probability Distribution and Expected Value in Games

#### Introduction

Karen plays a game involving a biased six-sided die. The faces of the die are labeled -3, -1, 0, 1, 2, and 5. The score for the game, \(X\), is the number which lands face up after the die is rolled. The following table shows the probability distribution for \(X\).

#### Probability Distribution Table

| Score \( x \)  | -3  | -1  | 0   | 1   | 2   | 5   |
|----------------|-----|-----|-----|-----|-----|-----|
| \( P(X = x) \) | \( \frac{1}{18} \) | \( p \) | \( \frac{3}{18} \) | \( \frac{1}{18} \) | \( \frac{2}{18} \) | \( \frac{7}{18} \) |

#### Problems:

1. **Find the exact value of \( p \).**

   Karen plays the game once.

2. **Calculate the expected score.**

   Karen plays the game twice and adds the two scores together.

3. **Find the probability Lauren has a total score of -3.**

Please refer to the table above to solve the following problems.

#### Solution Steps:

1. **Finding the exact value of \( p \)**:
    - Given the sum of probabilities for a discrete distribution must equal 1, solve for \( p \).
    
    \[
    \frac{1}{18} + p + \frac{3}{18} + \frac{1}{18} + \frac{2}{18} + \frac{7}{18} = 1
    \]
    
2. **Calculating the Expected Score**:
    - Use the expectation formula for discrete variables: \( E(X) = \sum x \cdot P(X = x) \).

3. **Calculating the Probability of a Total Score of -3**:
    - Consider the possible ways to get a total score of -3 when rolling the die twice, and use the appropriate probabilities.
    
#### Conclusion

These exercises will help in understanding the distribution of outcomes in a game involving probability and in calculating expected values, which are foundational concepts in probability theory and statistics.
Transcribed Image Text:### Educational Resource: Probability Distribution and Expected Value in Games #### Introduction Karen plays a game involving a biased six-sided die. The faces of the die are labeled -3, -1, 0, 1, 2, and 5. The score for the game, \(X\), is the number which lands face up after the die is rolled. The following table shows the probability distribution for \(X\). #### Probability Distribution Table | Score \( x \) | -3 | -1 | 0 | 1 | 2 | 5 | |----------------|-----|-----|-----|-----|-----|-----| | \( P(X = x) \) | \( \frac{1}{18} \) | \( p \) | \( \frac{3}{18} \) | \( \frac{1}{18} \) | \( \frac{2}{18} \) | \( \frac{7}{18} \) | #### Problems: 1. **Find the exact value of \( p \).** Karen plays the game once. 2. **Calculate the expected score.** Karen plays the game twice and adds the two scores together. 3. **Find the probability Lauren has a total score of -3.** Please refer to the table above to solve the following problems. #### Solution Steps: 1. **Finding the exact value of \( p \)**: - Given the sum of probabilities for a discrete distribution must equal 1, solve for \( p \). \[ \frac{1}{18} + p + \frac{3}{18} + \frac{1}{18} + \frac{2}{18} + \frac{7}{18} = 1 \] 2. **Calculating the Expected Score**: - Use the expectation formula for discrete variables: \( E(X) = \sum x \cdot P(X = x) \). 3. **Calculating the Probability of a Total Score of -3**: - Consider the possible ways to get a total score of -3 when rolling the die twice, and use the appropriate probabilities. #### Conclusion These exercises will help in understanding the distribution of outcomes in a game involving probability and in calculating expected values, which are foundational concepts in probability theory and statistics.
Expert Solution
steps

Step by step

Solved in 4 steps with 3 images

Blurred answer
Knowledge Booster
Points, Lines and Planes
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Recommended textbooks for you
A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
A First Course in Probability
A First Course in Probability
Probability
ISBN:
9780321794772
Author:
Sheldon Ross
Publisher:
PEARSON