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What is split-plot design in agronomy research?

What is split-plot design in agronomy research?

Split-plot design has been widely used particularly in the agronomy research. In split-plot design, the experimental units are divided into smaller units. Split-plot designs are useful when some factors are difficult or expensive to change or when the levels of the factors cannot be randomized (I’ll explain in detail later). Split-plot design consists of one whole plot and one subplot. The whole plot factor is randomly assigned to the experimental units, while the subplot factor is applied to a smaller…

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What is ANCOVA (2/3)? How to interpret Parameter Estimates

What is ANCOVA (2/3)? How to interpret Parameter Estimates

Previous post□ What is ANCOVA (1/3)? The basic concept In previous post, I explained how to interpret ANCOVA table (red box in below tables). In this post, I’ll explain how to interpret Parameter Estimates (blue box in below table) in ANCOVA analysis. Let’s check the ‘Parameter Estimates’ table. Most statistical programs set up one level of an experimental factor as “zero” and estimate the results based on that level. This concept is known as the Generalized Linear Model (GLM). If you…

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What is ANCOVA (1/3)? The basic concept

What is ANCOVA (1/3)? The basic concept

Today, I will explain Analysis of Covariance (ANCOVA). ANCOVA is a statistical technique that involves including covariates, which are additional variables that may impact the dependent variable (y) in addition to the independent variable (x). I have a dataset as shown below, and I would like to analyze crop yield based on different fertilizer types (Control, Slow-release, and Fast-release). The experimental design is a Completely Randomized Design (CRD) with 10 replicates. Rep Fertilizer Yield Fertilizer Yield Fertilizer Yield 1 Control…

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