WEEK # | TOPICS |
---|---|

1 | Set and Probability Theory (PDF) |

2 | Random Variables, Probability Mass/Density Function, and Cumulative Distribution Function (Univariate Model) (PDF) |

3 | Multiple Random Variables, Bivariate Distribution, Marginal Distribution, Conditional Distribution, Independence, Multivariate Distribution (Multivariate Model) (PDF) |

4 | Expectation (Moments) (PDF) |

5 | Review for Exam 1 |

6 | Random Variable and Random Vector Transformations (Univariate and Multivariate Models) (PDF) |

7 |
Special Distributions (Discrete and Continuous) (PDF)
Graph Representation: Special Distributions (PDF) |

8 | Review for Exam 2 |

9 |
Random Sample, Law of Large Numbers, Central Limit Theorem (PDF)
Simulations: Magnifying Glass (PDF) |

10 |
Point Estimators and Point Estimation Methods (PDF)
An Overview (PDF) |

11 |
Interval Estimation and Confidence Intervals (PDF)
t-Student versus Standard Normal: A Graphical View (PDF) The t-Distribution versus the Normal Distribution (Java Applet) |

12 |
Hypothesis Testing (PDF)
An Applied Review (PDF) |

13 | Review for Exam 3 |

## Lecture Notes

## Course Info

##### Learning Resource Types

*grading*Exams with Solutions

*notes*Lecture Notes

*assignment_turned_in*Problem Sets with Solutions