Factorial Treatments Designs

Bayo Lawal ()
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Bayo Lawal: Kwara State University, Department of Statistics and Mathematical Sciences

Chapter 14 in Applied Statistical Methods in Agriculture, Health and Life Sciences, 2014, pp 531-608 from Springer

Abstract: Abstract Factor-This is an independent variable for study in an experiment, and the first thing to consider in an experiment is to determine the factor or variable to be investigated. For example, let us suppose that we are interested in investigating the effect of inorganic chemicals on plant growth over the life period of the plant. Since many inorganic chemicals are involved we select one of them, say, nitrogen, in the nitrate form, $\text{NO}_3$ . Quite a different result may be obtained with a different form, say, $\text{NH}_3$ . The same amount of nitrogen could be used for the two forms, but the effect on plant response or growth could be quite different for the two forms of nitrogen.

Keywords: Treatment Combination; Factorial Experiment; Generalize Interaction; Fractional Factorial Design; Fractional Factorial (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-05555-8_14

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