On-Farm Research Conference
Statistics for On-Farm Research
Philip M. Dixon
Department of Statistics
Iowa State University
Dr. Paul Esker
Assistant Professor and Field Crops Extension Plant Pathologist
Department of Plant Pathology
University of Wisconsin-Madison
View and Listen to Part 1 by Paul Esker | Subscribe
View and Listen to Part 2 by Phil Dixon | Subscribe
View and Listen to Part 3 by Phil Dixon | Subscribe
View and Listen to Part 4 by Paul Esker | Subscribe
View and Listen to Part 5 by Phil Dixon | Subscribe
View and Listen to Part 6 by Phil Dixon | Subscribe
This six-part presentation provides an introduction to statistical design and analysis for on-farm research. Part one covers variability and the principles of statistical design. Part two deals with the principles of statistical inference using randomization and using traditional models. Part three describes hypothesis tests, the interpretation of results and Bayesian inference. Part four offers tips on getting more precise estimates. The concepts of power and blocking are discussed here. Part five discusses the extension to more than two treatments by using analysis of variance (ANOVA) and contrasts to answer the appropriate biological questions. And part six covers the analysis of data from multiple locations and years.
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