Experimental Design List
Experimental Design Option:
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Ontology ID Name Parent Description Action
CO_715:0000142 Block design CO_715:0000245 Design of block. [CO:rs]
CO_715:0000145 Complete block design CO_715:0000142 In a complete block design, each block contains all the treatments and suited for small number of treatments.[CO:rs]
CO_715:0000241 Latin square CO_715:0000145 [CO:rs]
CO_715:0000146 Completely randomized design CO_715:0000145 [CO:rs]
CO_715:0000147 Randomised complete block design CO_715:0000145 [CO:rs]
CO_715:0000242 Incomplete block design CO_715:0000142 Incomplete block design [CO:rs]
CO_715:0000150 Plot design CO_715:0000142 The design for plot or experimental unit which is the smallest unit receiving a certain treatment. [CO:rs]
CO_715:0000243 Balanced incomplete design CO_715:0000242 The designs are conveniently written down by drawing a square lattice, with the treatment numbers at the intersections of the lines. [CO:rs]
CO_715:0000244 Partially balanced design CO_715:0000242 Partially balanced designs are less suitable than balanced designs as the statistical analysis is more complicated. When the variation among blocks (or rows and columns) is large and several different standard errors may have to be computed for tests of significance. These difficulties increase as the design departs more and more from the symmetry of the balanced design
CO_715:0000245 Blocking CO_715_0000003 A block is a relatively large are containing group of several identical units receiving all or most of the treatments. [CO:rs]
CO_715_0000003 Experimental design The process of planning a study to meet specified objectives or the allocation of treatments (inputs) to the experimental units (plots). Planning an experiment properly is very important in order to ensure that the right type of data and a sufficient sample size and power are available to answer the research questions of interest as clearly and efficiently as possible.