Section 7.0
Chapter
7.0.1
7
Discrete Probability
7.1 Intro to Discrete Probability
7.2 Probability Theory
7.3 Bayes’s Theorem
7.4 Expected Value and Variance
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.1 Intro to Probability
7.1
INTRO TO PROBABILITY
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.1.1
7.1.2
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.1 Intro to Probability
UNIFORM PROBABILITY MEASURE
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.1.3
7.1.4
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.1 Intro to Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.1.5
7.1.6
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.1 Intro to Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.1.7
7.1.8
Chapter 7 Discrete Probability
INFINITE SAMPLE SPACES (optional)
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.1 Intro to Probability
7.1.9
PROBABILITY of the COMPLEMENTARY EVENT
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.1.10
Chapter 7 Discrete Probability
PROBABILITY of a UNION of EVENTS
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.2 Probability Theory
7.2
PROBABILITY THEORY
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.2.1
7.2.2
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.2 Probability Theory
TWO STANDARD EXAMPLES
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.2.3
7.2.4
Chapter 7 Discrete Probability
PROPERTIES of PROBABILITY MEASURES
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.2 Probability Theory
BERNOULLI DISTRIBUTIONS
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.2.5
7.2.6
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.2 Probability Theory
CLASSROOM EXERCISE
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.2.7
7.2.8
Chapter 7 Discrete Probability
CONDITIONAL PROBABILITY
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.2 Probability Theory
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.2.9
7.2.10
Chapter 7 Discrete Probability
INDEPENDENCE
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.2 Probability Theory
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.2.11
7.2.12
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.2 Probability Theory
RANDOM VARIABLES
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.2.13
Section 7.3 Bayes’s Theorem
7.3
BAYES’S THEOREM
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.3.1
7.3.2
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.3 Bayes’s Theorem
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.3.3
Section 7.4 Expected Value and Variance
7.4
7.4.1
EXPECTED VALUE AND VARIANCE
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.4.2
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.4 Expected Value and Variance
SUMMING RANDOM VARIABLES
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.4.3
7.4.4
Chapter 7 Discrete Probability
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.4 Expected Value and Variance
GEOMETRIC DISTRIBUTION
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.4.5
7.4.6
Chapter 7 Discrete Probability
INDEPENDENT RANDOM VARIABLES
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
Section 7.4 Expected Value and Variance
7.4.7
VARIANCE and STANDARD DEVIATION
coursenotes by Prof. J. L. Gross for Rosen 7th Edition
7.4.8
Chapter 7 Discrete Probability
CHEBYSHEV INEQUALITY
coursenotes by Prof. J. L. Gross for Rosen 7th Edition