One-Way Classification

Hardeo Sahai and Mohammed I. Ageel
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Hardeo Sahai: University of Puerto Rico
Mohammed I. Ageel: King Saud University, Abha Campus

Chapter 2 in The Analysis of Variance, 2000, pp 11-123 from Springer

Abstract: Abstract In this chapter we consider the analysis of variance associated with experiments having only one factor or experimental variable. Such an experimental layout is commonly known as one-way classification in which sample observations are classified (grouped) by only a single criterion. It provides the simplest data structure containing one or more observations at every level of a single factor. One-way classification is a very useful model in statistics. Many complex experimental situations can often be considered as one-way classification. In the succeeding chapters, we discuss situations involving two or more experimental variables.

Keywords: Appendix Table; Percent Confidence Interval; Variance Table; Equal Sample Size; Approximate Confidence Interval (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1007/978-1-4612-1344-4_2

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