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This book was written before computer programmes were available, so it gives the detail needed to make the calculations manually.Cited in more than 1,381 publications between 1961 and 1975. [6] Importance: Influence. Biometry: The Principles and Practices of Statistics in Biological Research . Authors: Robert R. Sokal; F. J. Rohlf
According to Denis Conniffe: Ronald A. Fisher was "interested in application and in the popularization of statistical methods and his early book Statistical Methods for Research Workers, published in 1925, went through many editions and motivated and influenced the practical use of statistics in many fields of study.
The original SPSS manual (Nie, Bent & Hull, 1970) [11] has been described as one of "sociology's most influential books" for allowing ordinary researchers to do their own statistical analysis. [12] In addition to statistical analysis, data management (case selection, file reshaping and creating derived data) and data documentation (a metadata ...
C.R. Rao made significant contributions to multivariate statistical theory throughout his career, particularly in the mid-20th century. One of his key works is the book titled "Advanced Statistical Methods in Biometric Research," published in 1952. This work laid the foundation for many concepts in multivariate statistics. [7]
In 1925, Ronald Fisher mentions the two-way ANOVA in his celebrated book, Statistical Methods for Research Workers (chapters 7 and 8). In 1934, Frank Yates published procedures for the unbalanced case. [1] Since then, an extensive literature has been produced. The topic was reviewed in 1993 by Yasunori Fujikoshi. [2]
In his book Statistics as Principled Argument, Robert P. Abelson presents the perspective that statistics serve as a standardized method for resolving disagreements among scientists, who could otherwise engage in endless debates about the merits of their respective positions. From this standpoint, statistics can be seen as a form of rhetoric.
The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]
[2] The terms 'computational statistics' and 'statistical computing' are often used interchangeably, although Carlo Lauro (a former president of the International Association for Statistical Computing) proposed making a distinction, defining 'statistical computing' as "the application of computer science to statistics", and 'computational ...