Open AccessA COMPARATIVE STUDY OF THE STATISTICAL METHODS MOST COMMONLY USED IN AGRICULTURAL RESEARCH
Author(s) -
Bernardo G. Capó
Publication year - 1937
Publication title -
the journal of agriculture of the university of puerto rico/the journal of agriculture of the university of puerto rico
Language(s) - English
Resource type - Journals
eISSN - 2308-1759
pISSN - 0041-994X
DOI - 10.46429/jaupr.v21i2.14335
Subject(s) - statistics , latin square , analysis of variance , mathematics , variance (accounting) , statistical analysis , simple (philosophy) , statistical hypothesis testing , computer science , econometrics , biology , philosophy , rumen , food science , accounting , epistemology , fermentation , business
This paper comprises a brief and simple explanation of the fundamental principles underlying the use of the statistical methods most commonly used in agricultural research. Among the methods compared are Bessel's method, the deviation from the mean method, Fisher's method for the Analysis of Variance (including the following phases: Unrestricted method, method of Randomized Blocks, method of Latin Square), and "Student's" method for Paired Observations. An example for the application of each method and new tables devised to test exclusively whether a difference is statistically significant or not are also presented.