PROBABILITY THEORY: FUNDAMENTALS
CONTENTS AT A GLANCE PART 1: THE CERTAINTY OF UNCERTAINTY: PROBABILITY BASICS CHAPTER 1: THE PROBABILITY IN EVERYDAY LIFE CHAPTER 2: COMING TO TERMS WITH PROBABILITY CHAPTER 3: PICTURING PROBABILITY: VENN DIAGRAMS, TREE DIAGRAMS, AND BAYES' THEOREM PART 11: COUNTING ON PROBABILITY AND BETTING TO WIN CHAPTER 4: SETTING THE CONTINGENCY TABLE WITH PROBABILITIES CHAPTER 5: APPLYING COUNTING RULES WITH COMBINATIONS AND PERMUTATIONS CHAPTER 6: AGAINST ALL ODDS: PROBABILITY IN GAMING 103 PART 111: FROM A TO BINOMIAL: BASIC PROBABILITY MODELS 129 CHAPTER 7: PROBABILITY DISTRIBUTION BASICS CHAPTER 8: JUGGLING SUCCESS AND FAILURE WITH THE BINOMIAL DISTRIBUTION CHAPTER 9: THE NORMAL (BUT NEVER DULL) DISTRIBUTION 167 CHAPTER 10: APPROXIMATING A BINOMIAL WITH A NORMAL DISTRIBUTION 187 CHAPTER 11: SAMPLING DISTRIBUTIONS AND THE CENTRAL LIMIT THEOREM CHAPTER 12: INVESTIGATING AND MAKING DECISIONS WITH PROBABILITY 221 PART IV: TAKING IT UP A NOTCH: ADVANCED PROBABILITY MODELS 233 CHAPTER 13: WORKING WITH THE POISSON (A NONPOISONOUS) DISTRIBUTION CHAPTER 14: COVERING ALL THE ANGLES OF THE GEOMETRIC DISTRIBUTION CHAPTER 15: MAKING A POSITIVE OUT OF THE NEGATIVE BINOMIAL DISTRIBUTION CHAPTER 16: REMAINING CALM ABOUT THE HYPERGEOMETRIC DISTRIBUTION 273 PART V: FOR THE HOTSHOTS: CONTINUOUS PROBABILITY MODELS 283 CHAPTER 17: STAYING IN LINE WITH THE CONTINUOUS UNIFORM DISTRIBUTION CHAPTER 18: THE EXPONENTIAL (AND ITS RELATIONSHIP TO POISSON) EXPOSED PART VI: THE PART OF TENS 311 CHAPTER 19: TEN STEPS TO A BETTER PROBABILITY GRADE 313 CHAPTER 20: TOP TEN (PLUS ONE) PROBABILITY MISTAKES 323