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Sensitivity Analysis in GEM-SA Jeremy Oakley. Example ForestETP vegetation model – 7 input parameters – 120 model runs Objective: conduct a variance-based.
Multifactorial Designs. Also called Multifactorial Designs Two or more independent variables that are qualitatively different ◦ Each has two or more.
Statistical Analysis Professor Lynne Stokes Department of Statistical Science Lecture 15 Review.
PSY 1950 Interactions October 15, 2008. Preamble Midterm review next Tuesday at 3pm on 7th floor Midterm handout later this week Problem set #4 due Monday.
Intro to Statistics for the Behavioral Sciences PSYC 1900 Lecture 15: Interactions in Factorial ANOVA.
Factorial Designs More than one Independent Variable: Each IV is referred to as a Factor All Levels of Each IV represented in the Other IV.
Lecture 15: ANOVA Interactions Laura McAvinue School of Psychology Trinity College Dublin.
Factorial Analysis of Variance II Follow up tests More fun than a rub down with a cheese grater 1.
Biostatistics-Lecture 9 Experimental designs Ruibin Xi Peking University School of Mathematical Sciences.
Chapter 12 UNDERSTANDING THE TWO-WAY ANALYSIS OF VARIANCE.