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Dodge, Y. (2008) Least Significant Difference Test. In: Dodge, Y., Ed., The Concise Encyclopedia of Statistics, Springer, New York, 302-304.

has been cited by the following article:

  • TITLE: Development of New LSD Formula when Numbers of Observations Are Unequal

    AUTHORS: Ali A. Al-Fahham

    KEYWORDS: ANOVA, Statistics, LSD Formula, Unequal Observations, F Test

    JOURNAL NAME: Open Journal of Statistics, Vol.8 No.2, April 4, 2018

    ABSTRACT: In the case of comparison between samples with unequal replications [n1 # n2 # n3 # ... # nk], the statistician should use LSD (Least Significant Difference) many times to achieve these comparisons, this method consumes more time and effort. The purpose of this research is to find out a new method to do easy and reliable comparison between population means when the experiment or data involving different numbers of replications. In order to do this, a new formula was designed; the aim of this new formula is to develop the multiple comparisons into one step instead of doing it with many steps that consume more effort and time. In this work, the researcher used the mean of the replication number in the LDS formula instead of doing the calculation many times for each two means. The results of this study found that the new formula give similar results for multiple comparisons with minimal effort. It was concluded that the new formula (named Al-fahham’s Formula) achieves the same results with less time and efforts. It was recommended that Al-fahham’s Formula can be approved in the statistical textbooks and procedures.