Comparating on F Result, Quade Testing, and Friedman Testing Result To Organoleptic Testing Result (Standard Statistical Analysis as A Myth)
For practice necessity, severals statistical analysis are needed as a standard analysis. By this standard analysis, the result often accepted without examinate the others which can give other views.
Problem was examined in this journal is trasformation problem and non-parametrical testing for organoleptic mesurement results.
Based on this case, transformation not usually give a better analysis result. Data transformation not usually increase the sensitivity of testing and correct analysis, as we believe nowadays. However, non-parametrical testing result give views which not different from F testing result, for the transformed data.
By comparing p-value from two non-parametric testing result, Friedman and Quade, where is the better testing not concluded yet. This result give a caution for researchers so careful in analyse others statistical date.
Team Resercher: Aunuddin, Aam Alamudi, Ayoe Indria Winuri
Statistic and Computation
ISSN 0853-8115
http://ipb.ac.id
Problem was examined in this journal is trasformation problem and non-parametrical testing for organoleptic mesurement results.
Based on this case, transformation not usually give a better analysis result. Data transformation not usually increase the sensitivity of testing and correct analysis, as we believe nowadays. However, non-parametrical testing result give views which not different from F testing result, for the transformed data.
By comparing p-value from two non-parametric testing result, Friedman and Quade, where is the better testing not concluded yet. This result give a caution for researchers so careful in analyse others statistical date.
Team Resercher: Aunuddin, Aam Alamudi, Ayoe Indria Winuri
Statistic and Computation
ISSN 0853-8115
http://ipb.ac.id
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