Objective

Both as a consumer and a producer of science it is important to understand the process of conducting research. In this course we will examine the process from the "question stage" to the "report stage" and back again. Along the lines we will examine the statistical tools we have for formulating models, efficiently collecting data, analyzing and interpreting data. By the end the course it is hoped that you will have developed the skills needed to design and analyze simple experiments. It is also important that you understand the underlying concepts. It is the underlying concepts which will allow you to handle situations not specifically covered in the course.

Course Info

Instructor:	Steve Kachman
E-mail:	skachman@unl.edu
Office:	355B Hardin Center
Phone:	472-2903
Office Hours:	MWF 11:00-12:00 and by appointment
TA:	Bruce DeGroot E-mail: bdegroo1@bigred.unl.edu Lab: Tuesday at 4:00 PM Office: A222 AnS Office Hours: M 11:00-1:00 and Th 2:00-4:00 Karl Miller E-mail: karlmiller21@mailexcel.com Lab: Monday at 4:00 PM and Tuesday at 2:00 PM Office: 103 Miller Hall Office Hours: MWF 10:00-12:00 and 1:00-3:00
Text Book:	Design of Experiments: Statistical Principles of Research Design and Analysis, Robert Kuehl
	Duxbury Data Library:  http://www.duxbury.com/datasets.htm
Syllabus:	Course Syllabus To view the Course Syllabus click on Course Syllabus . If Acrobat Reader is not installed on your computer click on .
Prerequisites:	Biometry 801 Estimation including confidence intervals Hypothesis testing Analysis of variance Regression SAS
Homework:	Approximately once a week 20% will be deducted for each day late.
Exams:	Two exams, will be announced at least one week in advance
Final Exam:	7:30-9:30 am Monday, Apr. 30 Revise travel plans accordingly.
Check Grades:	Blackboard Course Info
RFC 1925:	With sufficient thrust, pigs fly just fine. However, this is not necessarily a good idea. It is hard to be sure where they are going to land, and it could be dangerous sitting under them as they fly overhead