STAT 402A: - Statistical Design and the Analysis of Experiments:
Agriculture and Biological Sciences
Spring 2015

Philip Dixon

Syllabus and other useful information

DRAFT: Information here may change before the start of ths semester.


Useful Information


Course Outline (details may change depending on class pace)
The course is structured around a series of commonly asked questions by people doing lab or field experiments. . To answer each requires developing one or more statistical concepts.

Week   Dates        Topic 

  1   Jan 12-16      Intro / How Many Replicates? (sample size and power)
  2   Jan 19        ML King Birthday - no class 
      Jan 21-23     How many Replicates, continued
  3   Jan 26-30     Should I subsample? (variance components)
  4   Feb  2- 6     Subsampling, continued
  5   Feb  9-13     How can I reduce unwanted variability? (blocking)
  6   Feb 16-20     more blocking (Latin Squares and incomplete blocks)
  7   Feb 23        Midterm I due (takehome, thru end of week 5)
                       may be delayed if lecture schedule gets behind
      Feb 23-27     What does "interaction" mean? (factorial trt design)
  8   Mar  2- 6     Factorial designs continued.
  9   Mar  9-13     What's the right error? (split plot designs)
      Mar 16-20     Spring Break
 10   Mar 23-27       split plots, continued
 11   Mar 30-Apr 3    other designs with multiple error terms
 12   Apr  6-10     Any problem with repeatedly measuring the same plots?
 13   Apr 13        Midterm II due (takehome, thru end of week 11)
      Apr 13-17     How do I analyze data from multiple sites and years?     
 14   Apr 20        Likely no class
      Apr 23-25     Should I worry about spatial correlation?
 15   Apr 27-May 1  Should I measure a baseline value? (ANCOVA)
      May  4-May 8  Finals week (final will probably be takehome)

Details:

Readings: Assigned readings will be posted regularly. My lectures will cover the same concepts, but I will use different examples and a different presentation. It will help if you read the assigned material before the appropriate lectures.

Supplemental readings, from other books, will be made available when useful. These are optional. They will cover the same topics as the assigned readings and are given for your information, in case you prefer another book's style.

Homework: Statistics is best learnt by doing. The homework problems give you the chance to do. Problems are written to give you practice analyzing data or to illustrate points made in lecture. The intent is to help you understand and apply lecture concepts. Discussion with friends and classmates is encouraged. Copying papers does not contribute to learning and will not be tolerated.

Homework will be assigned weekly, except when there is a midterm, and due at the start of Friday's lecture. No late homework will be accepted. The lowest homework score will be dropped.

Exams: The two midterms will be takehome exams. They will be handed out at the Wednesday lecture and are to be returned at the following Monday's lecture. If my lectures are slower than scheduled, the midterm may be delayed. The format of the final will be discussed in class. I prefer to give a takehome exam, but as a class, we may decide on a traditional 2 hour in-class exam.

All exams are open book. You may use your textbook, your lecture notes, or other material from the library reserve desk. You may not use your friends or classmates. Please e-mail me if you have questions. This includes questions about SAS coding. Ask me, not a classmate! I'll help you.

Makeup exams or alternate due dates will be given only if you contact me and get approval prior to the scheduled exam.

Academic Honesty Policy:
The ISU academic honesty policy is printed in the University catalog and available online. To clarify how this applies to your work in this class:

Disability accomodation:
Iowa State University complies with the Americans with Disabilities Act and Sect 504 of the Rehabilitation Act. If you have a disability and anticipate needing accommodations in this course, please contact Philip Dixon within the first two weeks of the semester. Retroactive requests for accommodations will not be honored. Before meeting with me, you need to obtain a SAAR form with recommendations for accommodations from the Disability Resources Office, Room 1076, Student Services Building. Their telephone number is 515-294-6624.