**Class Meeting: TuTh 12:00-1:20 PM, Eck133**

** Prerequisites:** STAT22000 or STAT23400 or instructor consent

**People**

Name | Office | ||
---|---|---|---|

Instructor | Yibi Huang | Eckhart 7 | yibih@uchicago.edu |

CA | Eric Janofsky | ? | ebjan@galton.uchicago.edu |

CA | Zhengrong Tom Xing | Ryerson N375 | zrxing@uchicago.edu |

**Office Hours and Problem Sessions**

Day | Time | Room | Type | Lead by |
---|---|---|---|---|

Mon | 3-4pm | Eck117 | Office hour | CAs |

Tue | 5:30-6:30pm | Eck133 | Problem session | CAs |

Tue | 6:30-7:30pm | Eck133 | Problem session | CAs |

Wed | 5:30-6:30pm | Eck131 | Office hour | Yibi |

- Appointments available upon request
- The two problem sessions are identical. Just pick one to attend
- Attendance to the problem sessions are optional

**Textbook**

*A First Course in Design and Analysis of Experiments*(Oehlert, 2000)

Available online for**free**at http://users.stat.umn.edu/~gary/Book.html by the courtesy of the author, Professor Oehlert.- Other commonly used textbooks (a partial list; for your reference only, NOT required)
*Statistics for Experimenters Design, Innovation, and Discovery*, (2005, 2nd ed.) by George E. P. Box, J. Stuart Hunter, William G. Hunter*Design and Analysis of Experiments*(2012, 8th ed.) by Douglas C. Montgomery*Introduction to Design and Analysis of Experiments*by Cobb

**Complete Syllabus**: Click Here

**Software**

- We will use
*R*, which can be downloaded for free at http://www.r-project.org). Oehlert's book gives examples in MINITAB - Other major statistics packages like SAS, SPSS or STATA can also be used. However, we cannot offer guidance for the usage of these software except
*R*. - Students are discouraged from using MS Excel.
- Useful
*R*instruction book:*Introductory Statistics with R*, by P. Dalgaard.

An ebook can be downloaded at http://proxy.uchicago.edu/login?url=http://dx.doi.org/10.1007/978-0-387-79054-1 from a University of Chicago account or a university computer.

Date | Topics | Coverage | Handouts | Assignments | |
---|---|---|---|---|---|

Tu | Apr. 01 | (Review of) Multiple Linear Regression | MLR1a.pdf MLR1b.pdf housing.dat |
HW1 due Apr. 10 | |

Th | Apr. 03 | ||||

Tu | Apr. 08 | HW2 due Apr. 17 | |||

Th | Apr. 10 | Dummy Variables | dummy.pdf SalarySurvey.txt | ||

Tu | Apr. 15 | Completely Randomized Designs, ANOVA | Sections 3.1-3.8 | Chap3.pdf | HW3 due Apr. 25 |

Th | Apr. 17 | Experiments with Quantitative Factors, Goodness of Fit | Section 3.9 | ||

Tu | Apr. 22 | Two-Sample Tests, Randomization Tests | Chapter 2 | Chap2.pdf | HW4 due May 1 |

Th | Apr. 24 | Contrasts | Chapter 4 | Chap4.pdf | |

Tu | Apr. 29 | Multiple Comparisons | Chapter 5 | Chap5.pdf | HW5 due May 9 |

Th | May 01 | Model Adequacy Checking | Chapter 6 | Chap6.pdf Hodgkins.txt resinlife.txt g.txt | |

Tu | May 6 | HW6 due May 20 | |||

Tu | May 6 | Midterm Exam, 5:30-7:30pm in Eck133. | |||

Th | May 8 | Power and Sample Size Calculation | Chapter 7 | Chap7.pdf | |

Tu | May 13 | Two-Way Factorial Designs | Chapter 8 | Chap8A.pdf | HW7 due May 22 |

Th | May 15 | General Factorial Designs | Chapter 8 | Chap8B.pdf | |

Tu | May 20 | Contrasts for Factorial Data, One-Cell Interaction, Quantitative Factors | Section 9.1, 9.2.2, 9.2.3 | Chap9.pdf | HW8 due May. 29 |

Th | May 22 | Unbalanced Data | Section 10.1 | Chap10.pdf | |

Tu | May 27 | Randomized Complete Block Designs, Latin Square Designs | Chapter 13 | Chap13A.pdf | HW9 (optional, due June 4) |

Th | May 29 | Cross-Over Designs, Replicated Latin Square Designs, Graeco-Latin Squares Designs | Chapter 13 | Chap13B.pdf | |

Tu | Jun. 3 | Incomplete Block Designs | Chapter 14 | Chap14.pdf | |

Th | Jun. 5 | Reading Period, No Class. | |||

Tu | Jun. 10 | Final Exam, 10:30 - 12:30 in Eck133 |

**Homework Policies**

- Due Thursday, in class
**Late homework**will NOT be accepted or graded*Homework Collaboration*: You may interact with others on your homework, but everything you turn in must be your own work. You may not share analysis, graphs, or any other materials. Any significant help or ideas you receive from others should be acknowledged in your paper.- Computer Output:
- Please edit computer output (but not code) properly.
**Any unnecessary computer output**(which is common in R) will result in points deducted. You may include an appendix with relevant R code. - Figures (including fonts) should be clear, readable, and properly labeled.
- Key numerical results in pasted output should be highlighted
- For many questions, short bullet-point answers (as opposed to long ramblings) will be perfectly acceptable.

- Please edit computer output (but not code) properly.