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Experimental Design
A collection of articles on the Definition and Basic Concepts of Experimental Design, Assumptions of Analysis of Variance, Comparison of Means, and several types of Experimental Designs that are often used: Completely Randomized Design, Randomized Block Design, Latin Square Design (RBSL) Factorial Experiment, Split- Plot, Split Split Plot Design, Strip Plot Design
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- Written by Ade Setiawan
- Category: RCBD Factorial
Example 1: RCBD Factorial (Interaction is not significant)
This article is a continuation of the RCBD Factorial.
The following is Experimental Data on the Effect of Soil Processing and Organic Fertilizers on the Aggregate Stability Index. Soil Processing consists of 3 levels and 4 levels of Organic Fertilizer. The experiment was arranged using the basic design of Completely Randomized Block Design (RCBD) . The following are the steps for the calculation of the Analysis of Variety followed by Post Hoc Test: Fisher's LSD .
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- Written by Ade Setiawan
- Category: Split Plot Design (SPD)
Applied Example of a Split Plot Design Experiment:
This article is a continuation of the Split Plot Design
Suppose there is a study that wants to examine the effect of combination of NPK fertilization and rice genotype on rice yield (kg/plot). The combined effect of NPK fertilization (A) consisted of 6 levels placed as the main plot (main plot) and the rice genotype (B) consisted of 2 levels placed as subplots (subplot). The main plots were arranged using the basic RAK design with 3 replications. The experimental data and the steps for calculating the analysis of variance followed by Post Hoc test: Fisher's LSD can be studied in the document below.
You can learn the tutorial analyse data using SmartstatXL and SPSS Software on the following link:
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- Details
- Written by Ade Setiawan
- Category: RCBD Factorial
2 X 2 X 3 Factorial Design with Basic Design: RCBD
The following is a description of the 2 X 2 X 3 Factorial Design Data Tabulation, Linear Models, Assumptions, Variety Analysis Formulas and hypotheses. The values of the observational data from the experiment can be tabulated as follows:
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- Details
- Written by Ade Setiawan
- Category: Strip Plot Design
Another name for Split-Block Design is Strip-Plot Design . This design is suitable for a two-factor experiment where the accuracy of the interaction effect between factors is prioritized compared to the other two influences, the independent influence of factor A and factor B. This design is similar to Split Plot Design , only in split-blocks, treatment subunits placed in a line perpendicular to the main plot treatment. In split-blocks, the first factor is randomly assigned to the vertical line, while the second factor is randomly assigned to the horizontal line. Each path gets one treatment of factor A and one treatment of factor B.
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- Details
- Written by Ade Setiawan
- Category: Split Plot Design (SPD)
In the previous discussion of several types of environmental designs for controlling experimental error, we were only faced with one type of Experimental Unit for all treatments and a randomization process for assigning treatments to experimental units. However, in the factorial experiment, sometimes we are faced with another situation where there are several types of experimental units and the levels of the experimental factors are placed sequentially and the randomization procedure is carried out separately. For example, from the two factors that we are trying, we make a plot of the experimental unit which is larger for one of the factors, then for each of these plots we divide it again into several plots with a smaller size which is the experimental unit for the level of the second factor. This procedure is nothing but the principle of the Split-Plot experiment . The experimental unit plot which is larger in size and in which there are subplots is called the Main Plot, while the second experimental unit plot which is smaller in size and randomly placed on the Main Plot is called the Sub Plot.
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- Details
- Written by Ade Setiawan
- Category: Strip Plot Design
Example of Application of Split Block Design (Strip Plot/Striped Grid)
This sample article on strip-plot (split-block) design analysis is a continuation of the article Strip Plot Design . For example, the data to be analyzed is the same as the example in Split Plot Design , namely the effect of the combination of fertilizer and rice genotype on rice yields, but designed using a strip-plot/split-block design. Combination of NPK fertilizer (vertical factor, A) and rice genotype (horizontal factor, B). The following are the steps for calculating the analysis of variance followed by post hoc: Fisher LSD.
Analyse data using SmartstatXL Add-In: How to Analyze Strip Plot (Split Block) Experiments
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