Demonstrate the appropriate use of mean separation

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Demonstrate the appropriate use of mean separation techniques Set up an ANOVA table for multilocational or multiyear trials and explain how the F tests would be computed Use SAS to generate an analysis of variance for all of the experimental designs discussed Outline of Topics Covered Week 1 Basic Principles o Kinds of field experiments o Site selection o Experimental error o Field uniformity o Steps in experimentation o Types of data to collect o Hypothesis testing o Review of t tests Week 2 Basic Experimental Designs o The importance of randomization o Completely randomized design o Control of experimental error
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o Concepts of replication and blocking o Randomized block design Week 3 The Field Plot o Plot shape and orientation o Border effects o Optimum and convenient plot size o Number of replications and power calculations Week 4 Refining the Model o First test o ANOVA assumptions o Checking ANOVA assumptions and transformations o Fixed, Random, and Mixed Models o (Introduction to Generalized Linear Mixed Models) o (Analysis of Covariance) Week 5 More Designs + Factorial Experiments o Subsampling o Latin square design o Factorial Experiments o Main effects and interaction Week 6 Contrasts o Orthogonal contrasts o Regression in the ANOVA o Orthogonal polynomial contrasts Week 7 Different Plot Sizes within an Experiment o Second test o Split-plot designs o Strip-plot designs o Repeated measures Week 8 Comparison of Means with Unstructured Treatments o Take-home design problem and SAS analysis o Structured versus unstructured experiments o Mean separation techniques Week 9 Large Numbers of Treatments o Augmented designs o Incomplete block designs o Lattice designs Week 10 Experimental Design in the Real World o Multilocational trials o Student proposals - poster session, Wed., March 9, 2011 o Review Exam Week o Final - Thursday, March 17, 2011 at 6:00 pm in CRPS 122 Tentative Recitation Schedule
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Week 1 Introduction to SAS; review of basic statistics Week 2 One-Way ANOVA (CRD) Week 3 Two-way ANOVA (RBD) Week 4 ANOVA Assumptions, Transformations, Mixed Models Week 5 Subsampling, Latin Square ANOVA Week 6 Factorials and Contrasts Week 7 Split Plot, Strip Plot, Repeated Measures Week 8 Multiple Comparison Tests Week 9 Incomplete Block Designs Week 10 Across Site Analyses
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