Topic |
Date | Exam |

1.1 Introduction | W. Jan 19 | |

1.2 Combinatorial Methods | F Jan 21 | |

1.2 Combinatorial Methods | M jan 24 | |

1.3 Binomial Coefficients | W jan 26 | |

2.1 Introduction,
2.2 Sample Spaces, 2.3 Events |
F Jan 28 | |

2.4 The Probability of an Event | M Jan 31 | |

2.5 Some Rules of Probability | ||

2.6 Conditional Probability | ||

2.7 Independent Events | M Feb 7 | |

2.8 Bayes' Theorem | ||

Homework Questions | ||

3.1 Intrduction
3.2 Probability Distributions |
M Feb 14 | |

Exam 1 on Chapters 1 and 2 | ||

3.2 Probability Distributions | ||

3.3 Continuous Random Variables | T. Feb 22 | |

3.4 Probability Density Functions | ||

Questions | ||

3.5 Multivariate Distributions | M Feb 28 | |

3.6 Marginal Distributions | ||

3.7 Conditional Distributions | M March 5 | |

4.1, 4.2 The Expected Value
of a Random Variable |
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4.2 Expected Value | ||

Review | M March 20 | |

Exam 2 on 3.1 - 4.2 | ||

4.3 Moments | ||

4.4 Chebeyshev's Them | M March 27 | |

4.4 Chebyshev's Thm | ||

4.5 Moment-Generation Functions | ||

Go over homework | M April 3 | |

4.6 Product Moments | ||

4.7 Moments of linear Combinations
4.8 Conditional Expectations |
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5.2 Discrete Uniform Distribution
5.3 Bernoulli Distribution |
M April 10 | |

5.4 The Binomial Distribution | ||

Homework Problems | ||

M April 17 | Exam 3 (On 4.3-5.4) | |

5.5 The Negative Binomial and
Geometric Distribuitons |
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THe Hypergeometric Distribution | ||

The Poisson Distribuiton | M April 24 | |

Chapter 6 | ||

Chapter 6 | ||

Chapter 6 | M May 1 | |

11:30 - 2:30 | Tues May 9 | Final Exam |