Lecture:	MWF 11-11:50am, Sweeney 1126
	Lab/Discussion: Tu, 2:10-4, Sweeney 1126
Instructor:	Philip Dixon pdixon@iastate.edu 120 Snedecor Hall Ames IA 50011-1210 515-294-2142 on campus: 4-2142 FAX: 515-294-4040 (shared machine, put my name on front page)
Office Hours:	On campus: Monday 3-4, Weds 12 -1 Off campus: Monday 12:10-1, Friday 12:10 -1. These are times when I will be in my office and available for calls. However, feel free to e-mail or call anytime and I will get back to you asap.
Grader / office hours	Ying Shi yshi@iastate.edu 4-5 Weds
Questions:	Please feel free to e-mail me (pdixon@iastate.edu) or Ying (yshi@iastate.edu), anytime with questions or comments.
	If you have questions about homework answers or homework grades, please contact Ying first.
Text:	Kutner, M.H., Nachtsheim, C.J., Neter, J. and Li, W. 2005. Applied Linear Statistical Models (5th edition) McGraw-Hill/Irwin The same set of authors have written 'Applied Linear Regression'. This is you have 1/2 of 'the big book'. We will need the big book. If you a Statistics (or Econometrics) grad student, you should probably own a copy of the text. This is a useful compendium and reference book. There are reserve copies in Parks Library. If you are not going to be a practicing statistician, you can get by without owning a copy.
Course Packets:	on sale at Copyworks in Campustown (corner of Lincoln Way and Welsh). This includes lecture notes, copies of graphs and handouts, and lab information. The lecture notes include copies of all my transparencies. These were quite heavily revised for 2007. While much of the material is similar to that from previous years, the page numbers are not. Please buy a copy of the 2007 course packet. Lab information contains all the case studies and SAS information Off campus students will be mailed a copy of the course packet.
SAS texts: (all optional)	Elliot, R. J., 2000. Learning SAS in the Computer Lab. 2nd ed. Duxbury (bookstores: Stat 579) Delwiche, L. D. and Slaughter, S. J. 2003. The Little SAS book, 3nd ed. SAS Institute Press (amazon.com, sas.com, other booksellers)
Goals:	The catalog says: Introduction to statistical methods for analyzing data from experiments and observational studies. Focus on detecting and modeling systematic effects of experimental factors, making predictions, and quantifying sources of variation. Methods covered include two-sample procedures, analysis of variance, simple and multiple linear regression, analysis of covariance, and Chi-square tests. I add: we will also study blocking and simple mixed models (e.g. split plot experiments and 'truly random' blocks. Lab focuses on using the SAS data analysis program, choosing appropriate statistical methods, and communicating statistical results.
My translation:	Rigorous introduction to the art and science of using statistical methods to answer scientific questions. Discuss commonly used statistical methods, how they are used, why they work, how to do the computations, and how to communicate the results. Consider how to apply methods to novel situations.
Prerequisites:	Knowledge of basic statistical concepts such as mean, standard deviation, normal distribution, binomial distribution, confidence intervals, tests of hypotheses. Knowledge of calculus and matrix algebra.
Grading:	Homework / Lab assignments: 100 pts  Two Midterms: 120 pts each  Final: 160 pts

Details:

Lab:	"Lab" activities (Tu 2:10 - 4) include: Some hands-on illustrations of statistical principles. Discussion of case studies Use of SAS. Discussion and Q/A on lectures and homework problems.
Homework:	Homework problems provide practice applying lecture and text material. Discussion with friends and classmates is strongly encouraged.  Please write up your answers individually. Copying papers is not a good way to learn. Generally assigned on Wednesday and due Wednesday the following week at 4 pm (on campus) or the subsequent Monday (off campus). Changes to due dates will be announced and posted on the web page. In general, off campus duedates (homework, exams) will be half a week or so after the on campus due dates. No late homework accepted. Lowest homework score will be dropped.  Solutions will be posted on the class web site, shortly after the off campus due date.
Exams:	On campus midterms will be held during lab. I will try to arrange a larger room to provide ample space. Final time is the University's scheduled time for Monday 11 am class. This will be announced later in the semester. Please let me know if you have a conflict with this time. The final is partly on weeks 11-15 and partly comprehensive. Exams are due at the indicated time; points will be deducted if you continue to work past the end of the exam. Exam dates and policies for off campus students are discussed in my introductory letter.
	Makeup exams will be given only if you contact me and get approval prior to the scheduled exam.  All exams are closed book.  Calculators are allowed and encouraged. A formula sheet will be provided. My exams from fall 2005 (.pdf format) are available on the class web site
Disability accommodation:	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 accommodation(s) 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.
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: On homework assignments: I encourage you to help each other interpret the homework problems, write SAS code, debug SAS code, and interpret the output. You may share SAS code, but I encourage you to understand that code even if you didn't write it. I do require you to write your answers in your own words. On exams: You are to do all work individually. I want to see what you can do.
Other questions:	Please ask in class, e-mail me:  pdixon@iastate.edu or e-mail the grader: