Syllabus and other useful information
For those wishing to use R, JMP, or SPSS, I will be happy to help during office hours.
It would be best if you had access to the SAS package on a relatively powerful computer. At ISU, SAS is available on many PC's, some MAC's, and on a campus-wide Linux server (sas.iastate.edu). A current list of public computing labs with SAS can be found by going to http://www.it.iastate.edu/labsdb/, entering SAS in the search box, then clicking the Search button. In addition, many departments maintain departmental computing labs where SAS is available.
If you want your own copy of SAS, the Statistics Dept. computing group has a multi-user student license. This is free for students on their personal machine. Go to http://www.stat.iastate.edu/resources/software/sas/ and read the section on "Student Windows SAS Installations". Installing SAS on an ISU-owned PC requires a license, which costs ca $100 per year from Statistics. E-mail Kathy Shelley to get more information. Licenses are also available from the Agronomy Dept. These are cheaper if you're associated with Agron.
Finally, if you want to use SAS at home or in your office, but do not want to install a copy, you can use a terminal emulator (e.g. PUTTY) to connect to sas.iastate.edu and use SAS in batch mode (dial-up internet connection) or full screen mode (fast internet connection). See the Stat Dept SAS resource page for more info.
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)
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.
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:
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.