## Introduction to ProbabilityThis text is designed for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject. |

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Great book, and freely and legally available online from the authors.

### Contents

Discrete Probability Distributions | 1 |

Continuous Probability Densities | 41 |

Combinatorics | 75 |

Conditional Probability | 133 |

Distributions and Densities | 183 |

Expected Value and Variance | 225 |

Sums of Random Variables | 285 |

Law of Large Numbers | 305 |

Central Limit Theorem | 325 |

Generating Functions | 365 |

Markov Chains | 405 |

Random Walks | 471 |

Appendices | 499 |

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### Common terms and phrases

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