### Session Key

L = Lecture

R = Review

E = Exam

SES # | TOPICS | KEY DATES |
---|---|---|

L1 | Distributions Derived from Normal Distribution | |

L2 | Statistical Models: Classic One-sample Distribution Models | |

L3 | Parameter Estimation: Method of Moments | Problem Set 1 Due |

L4 | Parameter Estimation: Maximum Likelihood | Problem Set 2 Due |

L5 | Maximum Likelihood: Large Sample Theory | |

L6 | Bootstrap Confidence Intervals | Problem Set 3 Due |

L7 | Sufficiency | |

R1 | Exam 1 Review | |

E1 | Exam 1 | |

L8 | Parameter Estimation: Bayesian Approach | Problem Set 4 Due |

L9 | Hypothesis Testing | Problem Set 5 Due (Extra Credit) |

L10 | Hypothesis Testing II | Problem Set 6 Due |

L11 | Assessing Goodness of Fit | Problem Set 7 Due |

R2 | Exam 2 Review | |

E2 | Exam 2 | |

L12 | Summarizing Data | |

L13 | Summarizing Data: Examples and Dynamic Graphics | Problem Set 8 Due |

L14 | Regression Analysis | |

L15 | Regression Analysis II | Problem Set 9 Due |

R3 | Exam 3 Review | |

E3 | Exam 3 | |

L16 | Comparing Independent Samples and ANOVA | |

L17 | Analysis of Categorical Data | Problem Set 10 Due |