Required textbook: deGroot and Schervish, “Probability and Statistics”.

Grading: Best of two midterms 45%, homework 5%, final 50%.

Midterm 1 will be on February 17 and Midterm 2 will be on March 30.

#### Final exam material

###### 1. Book sections

Section | Homework | Lecture problems | |
---|---|---|---|

9.1 | 3, 10, 14, 16 | 1, 6, 11, 15 | |

9.5 | 5,8,15 | 1,12,16 | |

9.6 | 1,9 | 2,8 | |

9.7 | 1,15,18 | 5,6,17 | |

11.1 | 7,11 | 1,4 |

###### 2. Extra credit projects

Author | Title | Related link |
---|---|---|

Haley | Data analysis of Google distance | |

Charles | Evaluation of the Normalized Google Distance | Wolfram Alpha for sample $S$, population $S$ |

Daren | The number of segments on a Culsia rosea seed capsule |

###### What’s in each section

9.5 ($t$-test)

9.6 (Comparing means of two normals using $t$-test; *no unequal variances this year*)

9.7 ($F$-distributions)

11.1 (Least squares estimation)

Delta method doesn’t work for n=1: example for February 8

Likelihood function for Cauchy distribution (with theta=0): example for February 3

Likelihood function for exponential distribution: example for February 3

#### Midterm 1 material

Section | Homework | Lecture problems |
---|---|---|

7.1 | 6 | 3 |

7.2 | 10, 3 | 6, 11 |

7.3 | 6, 10, 9, 22, 12 | 13, 4, 5, 16, 15 |

7.4 | 1, 12, 15 | 8, 10, 13 |

7.5 | 3, 13 | 2, 9 |

#### Midterm 2 material

Section | Homework | Lecture problems |
---|---|---|

7.6 | 1, 11, 12, 17, 23 | 2, 7, 10, 19, 20 |

8.1 | 9 | 7 |

8.2 | 5, 2 | 9, 4 |

8.3 | 4 | 8 |

8.4 | 4 | 1 |

8.5 | 8, 9 | 3, 7 |

8.7 | 8, 7, 9 | 5, 3, 13 |