MSA250 Experimental Design 7,5 hec


Working with statistics in practice means studying data with associated errors. In this course the basic philosophy behind statistical inference is discussed. An important case is comparative studies for two treatments where nuisance factors can either be randomised or blocked. How this is done in practice is of importance for the analysis. More than two treatments are introduced and treated using analysis of variance. We also study regression analysis. In the study of the methods of analysis extra emphasis is put on the assumptions, which are essential to secure during the planning stage of the experiment.
 
 The course is
  • given in the first half of spring
  • jointly with Chalmers TMS031
 
 

Course information 2017

Course information 2016

Course information 2015

  • Course coordinator: Kerstin Wiklander

  • Schedule

Course information 2014

  • Course coordinator: Aila Särkkä
  • Schedule
 

2013 the course is cancelled

 

Course information 2012

  • Course coordinator: Aila Särkkä

  •  

  • Schedule

Course information 2011

  • Course coordinator: Aila Särkkä
  • Schedule

Course information 2010

  • Course coordinator: Aila Särkkä
  • Schedule

Course information 2009

  • Course coordinator:  Jacques de Maré
  • Schedule

Course information 2008

  • Course coordinator:  Jacques de Maré
  • Schedule

Published: Wed 28 Sep 2016. Modified: Wed 24 Jul 2019