Jim has three cars of different models: A, B, and C. The | StudySoup
Fundamentals of Probability, with Stochastic Processes | 3rd Edition | ISBN: 9780131453401 | Authors: Saeed Ghahramani

Table of Contents

1
Axioms of Probability
1.2
Sample Space and Events
1.4
Basic Theorems

2
Combinatorial Methods
2.2
Counting Principle
2.3
Permutations
2.4
Combinations

3
Conditional Probability and Independence
3.1
Conditional Probability
3.2
Law of Multiplication
3.3
Law of Total Probability
3.5
Independence
3.6
Applications of Probability to Genetics

4
Distribution Functions and Discrete Random Variables
4.2
Distribution Functions and Discrete Random Variables
4.4
Expectations of Discrete Random Variables
4.5
Variances and Moments of Discrete Random Variables

5
Special Discrete Distributions
5.1
Bernoulli and Binomial Random Variables
5.2
Poisson Random Variables
5.3
Other Discrete Random Variables

6
Continuous Random Variables
6.1
Probability Density Functions
6.2
Density Function of a Function of a Random Variable
6.3
Expectations and Variances

7
Special Continuous Distributions
7.2
Normal Random Variables
7.3
Exponential Random Variables
7.5
Beta Distributions
7.6
Survival Analysis and Hazard Functions

8
Bivariate Distributions
8.1
Joint Distributions of Two Random Variables
8.2
Independent Random Variables
8.3
Conditional Distributions
8.4
Transformations of Two Random Variables

9
Multivariate Distributions
9.1
Joint Distributions of n > 2 Random Variables
9.2
Order Statistics
9.3
Order Statistics

10
More Expectations and Variances
10.1
Expected Values of Sums of Random Variables
10.2
Covariance
10.3
Correlation
10.4
Conditioning on Random Variables
10.5
Bivariate Normal Distribution

11
Sums of Independent Random Variables and Limit Theorems
11.1
Moment-Generating Functions
11.2
Sums of Independent Random Variables
11.3
Markov and Chebyshev Inequalities
11.4
Laws of Large Numbers

12
Stochastic Processes
12.2
More on Poisson Processes
12.3
Markov Chains
12.4
Continuous-Time Markov Chains
12.5
Brownian Motion

13
Simulation
13.2
Simulation of Combinatorial Problems
13.4
Simulation of Random Variables
13.5
Monte Carlo Method

Textbook Solutions for Fundamentals of Probability, with Stochastic Processes

Chapter 3.3 Problem 3

Question

Jim has three cars of different models: A, B, and C. The probabilities that models A, B, and C use over 3 gallons of gasoline from Jim's house to his work are 0.25, 0.32, and 0.53, respectively. On a certain day, all three of Jim's cars have 3 gallons of gasoline each. Jim chooses one of his cars at random, and without paying attention to the amount of gasoline in the car drives it toward his office. What is the probability that he makes it to the office?

Solution

Step 1 of 3

Given that,

Jim has three cars of different models: A, B, and C. So, there are three possibilities to select a car, and hence,

                         

The probabilities that model A, B, and C use over 3 gallons of gasoline from Jim’s house to his work are 0.25, 0.32, and 0.53, respectively.

 

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full solution

Title Fundamentals of Probability, with Stochastic Processes 3 
Author Saeed Ghahramani
ISBN 9780131453401

Jim has three cars of different models: A, B, and C. The

Chapter 3.3 textbook questions

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