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Mathematical Statistics with Applications
Probability
Mathematical Statistics with Applications
Dennis D. Wackerly, William Mendenhall III, Richard L. Scheaffer
Chapter 2
Probability - all with Video Answers
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Section 1
Introduction
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2.1: Introduction
2.2: Probability and Inference
2.3: A Review of Set Notation
2.4: A Probabilistic Model for an Experiment: The Discrete Case
2.5: Calculating the Probability of an Event: The Sample-Point Method
2.6: Tools for Counting Sample Points
2.7: Conditional Probability and the Independence of Events
2.8: Two Laws of Probability
2.9: Calculating the Probability of an Event: The Event-Composition Method
2.10: The Law of Total Probability and Bayes’ Rule
2.11: Numerical Events and Random Variables
2.12: Random Sampling
2.13: Summary