• Start Date: May 09, 2017
• End Date: May 11, 2017
• Time: 8:30am-4:00pm
• City: Castlegar BC
• Venue: Selkirk College
• Instructor: Dr. Carl Schwarz
• Registration now open

Course Description

Many scientific studies are full of statistical jargon, tables of averages and other statistics, and results of statistical tests which purport to prove a certain hypothesis. The purpose of this course was to review some of the basic sampling and experiment designs used by ecologists and to understand exactly what can and cannot be extracted from a set of data. With the advent of modern statistical packages, the analysis of data is fairly easy, but it is far too easy to get nonsense results. This course also reviewed common pitfalls in the analysis of data.

Prerequisites: A “basic” knowledge of statistics, i.e., usually a single course somewhere in your background.  A working knowledge of “R” software. If you are new to “R” then we have a 1/2 day Intro to “R” Software course taking place the day before this course! See here for more details.