DESIGN, ANALYSIS, AND INTERPRETATION OF EXPERIMENTS
WINTER QUARTER 2015
Syllabus and General Information
The goal of this course is to introduce graduate students in the biological sciences to the fundamental concepts and statistical methods necessary to plan, conduct, and interpret effective experiments.
PLS120 or equivalent (e.g. ASE120)
The class is based on and all homework and exams require the statistical software package SAS (we are sorry but we do not have the capability to grade homework in R). There are a number of computer labs on campus with SAS installed (Hutchison 73 and 75; and PES 1137), and they are available to you when not in use by other classes. There is also a virtual lab available using your Kerebros Login at: http://clm.ucdavis.edu/virtual/ It works best during the evenings and on weekends (there are a limited number of licenses). Some departments (e.g. Plant Sciences) also have SAS available via network server for department members. These are perfectly viable options for this class. That being said, if your personal computer has an appropriate operating system (see box below), we recommend for your own convenience that you obtain a SAS student license for your machine.
To obtain a student license, go in person to the MU Bookstore and place an order with the Computer Shop. Know your operating system and be very clear about which version of SAS you need. Orders take roughly 2 days to process, at which point you will receive a set of CDs to install. The license costs $50 and is valid through 6/30/15.
COURSE FORMAT AND GRADES
The course consists of two 1.5-hour lectures (TR 9:00-10:20 am, Bowley 101), one hour of homework-based discussion (T 1:10 – 2:00 or 2:10 – 3:00 pm, PES 1137), and one hour of computer laboratory (R 4:10-5:00 or 5:20-6:10 pm, Hutchison 73) per week. Grades are based on one in-class quiz (questions will be provided in advance), two exams and nine homework assignments / problem sets:
In-class quiz 5% (Jan. 29, 9 AM)
First exam 35% (Feb. 12 and due Feb. 17, 9 AM)
Second exam 35% (March 12 and due March 17, 5 PM)
to the principles of experimental design
2. Distributions, hypothesis testing, and sample size determination
3. Fundamentals of analysis of variance (ANOVA)
4. Orthogonal contrasts
5. Means separations
6. Randomized complete block design (RCBD)
8. Data transformation
9. Introduction to factorial experiments
10. Fixed, random, and mixed models
11. Unbalanced designs
12. Split plot designs and repeated measures
13. Analysis of covariance (ANCOVA)
Click here for the Course Schedule
The following campus computer labs have the SAS software installed:
For on-campus computer room availability and hours of operation, click here.
Jorge Dubcovsky. firstname.lastname@example.org. Office hours Fridays 2:00 – 4:00 PM (Robbins 122).
Miguel Macias Gonzalez (email@example.com) Homework and SAS programming questions. Office hours TUE and THR 11:30 AM to 1:00PM (PES 1137)
Jake Uretsky (firstname.lastname@example.org ). Homework grading questions. Office hours TUE 11:30AM to 12:30 PM (PES 1137).
Principles and Procedures of Statistics. R.G.D. Steel, J.H. Torrie & D.A. Dickey. McGraw-Hill, Publisher, 3rd Edition, 1997.
The book is out of print, but we have obtained copyright permit from the editor; copies may be found in the textbook area of the MU bookstore.
Other useful references on Experimental Design:
ONLINE REFERENCES FOR SAS
Other SAS introductory texts
Cody, Ronald P.; Smith, Jeffrey K.
(1997). Applied Statistics and the SAS Programming Language. 4th Ed.
Lora D.; Slaughter, Susan J. The Little SAS Book, a primer.1995. SAS Institute
Inc., Cary, NC, USA.
Recommended: Littell, Ramon C.; Freund, Rudolf J.; Spector Philip C. SAS System for Linear Models. 3rd Ed. SAS Series in Statistical Applications.
Last updated: January 2015