[F&ES 757b] / 2017-2018

Statistical Design of Experiments 

Credits: 3

Spring 2018: Not Offered


Principles of design for planned experiments, coupled with methods of analysis of experimental data. The course is applications-oriented using the results of established theory. The nuances, strengths, and weaknesses of a number of classical designs are discussed. These include completely randomized design, block designs, and split plot designs. The analysis of data from these designs is treated at length. This course also deals with the question of sample size estimation. Students may use R or SAS for the completion of assignments.

Prerequisites for F&ES 757:
F&ES 510: Introduction to Statistics and Data Analysis in the Environmental Sciences
or equivalent coursework. Other Introductory Statistics Courses