Transformation Box-Cox for Stabilisation of Diversity in Group Random Design
Yenny Sylvia and Djunaidy Santoso
DOI : 10.3844/jcssp.2015.18.29
Journal of Computer Science
Volume 11, Issue 1
In the field of research, there are a variety of statistical methods used. Hypothesis testing is one test that is often used to obtain the conclusions of the research conducted. One hypothesis testing that is often used is the testing of hypotheses through ANOVA (Box et al., 1978). However, in determining the validity of a hypothesis is obtained, there are assumptions that must be met, namely the assumption of homogeneity range between treatments (Box et al., 1978; Box and Cox, 1964; Gomez and Gomez, 1984; Guerrero, 1993; Mattjik and Made, 2006). Examination of a wide homogeneity assumption has been made in research involving plants, which use a randomized block design. Wide homogeneity assumption was tested using Bartlett test, but from the tests that have been done show no results were less consistent (Box et al., 1978; Box and Cox, 1964; Gomez and Gomez, 1984; Guerrero, 1993; Mattjik and Made, 2006). Transformation Box-Cox used to transform data that is not homogeneous (Box et al., 1978; Box and Cox, 1964). Calculation of the variance range and test computer-based transformation has been compiled using C # programming language.
© 2015 Yenny Sylvia and Djunaidy Santoso. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.