Let S = A1 A2 Am, where events A1, A2, ... , Am are mutually exclusive and exhaustive | StudySoup
Probability and Statistical Inference | 9th Edition | ISBN: 9780321923271 | Authors: Robert V. Hogg, Elliot Tanis, Dale Zimmerman

Table of Contents

1.1
Probability
1.2
Probability
1.3
Probability
1.4
Probability
1.5
Probability

2.1
Discrete Distributions
2.2
Discrete Distributions
2.3
Discrete Distributions
2.4
Discrete Distributions
2.5
Discrete Distributions
2.6
Discrete Distributions

3.1
Continuous Distributions
3.2
Continuous Distributions
3.3
Continuous Distributions
3.4
Continuous Distributions

4.1
Bivariate Distributions
4.2
Bivariate Distributions
4.3
Bivariate Distributions
4.4
Bivariate Distributions
4.5
Bivariate Distributions

5.1
Distributions of Functions of Random Variables
5.2
Distributions of Functions of Random Variables
5.3
Distributions of Functions of Random Variables
5.4
Distributions of Functions of Random Variables
5.5
Distributions of Functions of Random Variables
5.6
Distributions of Functions of Random Variables
5.7
Distributions of Functions of Random Variables
5.8
Distributions of Functions of Random Variables
5.9
Distributions of Functions of Random Variables

6.1
Point Estimation
6.2
Point Estimation
6.3
Point Estimation
6.4
Point Estimation
6.5
Point Estimation
6.6
Point Estimation
6.7
Point Estimation
6.8
Point Estimation
6.9
Point Estimation

7.1
Interval Estimation
7.2
Interval Estimation
7.3
Interval Estimation
7.4
Interval Estimation
7.5
Interval Estimation
7.6
Interval Estimation
7.7
Interval Estimation

8.1
Tests of Statistical Hypotheses
8.2
Tests of Statistical Hypotheses
8.3
Tests of Statistical Hypotheses
8.4
Tests of Statistical Hypotheses
8.5
Tests of Statistical Hypotheses
8.6
Tests of Statistical Hypotheses
8.7
Tests of Statistical Hypotheses

9.1
More Tests
9.2
More Tests
9.3
More Tests
9.4
More Tests
9.5
More Tests
9.6
More Tests
9.7
More Tests

Textbook Solutions for Probability and Statistical Inference

Chapter 1.1 Problem 1.1-15

Question

Let S = A1 A2 Am, where events A1, A2, ... , Am are mutually exclusive and exhaustive. (a) If P(A1) = P(A2) = = P(Am), show that P(Ai) = 1/m, i = 1, 2, ... , m. (b) If A = A1 A2 Ah, where h < m, and (a) holds, prove that P(A) = h/m.

Solution

Step 1 of 4

Give that  are  mutually exclusive events, that is, all the  events impossible to occur together,

And also the events are exhaustive that is there union forms the sample space

Probability of  is given by

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full solution

Title Probability and Statistical Inference  9 
Author Robert V. Hogg, Elliot Tanis, Dale Zimmerman
ISBN 9780321923271

Let S = A1 A2 Am, where events A1, A2, ... , Am are mutually exclusive and exhaustive

Chapter 1.1 textbook questions

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