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.Resumen en español
The mass data obtained from scientific and practical experiments are mostly probable-random. The met...
Excerpt from the Foreword: In March of 1938 Dr. Shewhart, through the courtesy of the Bell Telephon...
This book aims to provide a brief and straightforward description on conducting a range of statistic...
In recent decades, the agricultural sector has witnessed rapid technological interventions from fiel...
THE value of statistical methods in in-terpreting the results of agricultural research has been quit...
One method of judging the effectiveness of the teaching of statistical methods is to rate the qualit...
This paper provides a brief discussion of the history of modern statistics, taking into account the ...
A brief reference manual on statistical methods for researchers in agriculture. It accompanies the r...
Today, that the collection of biological data has been increasing at explosive rate, the right proce...
Applying statistical methods to research studies and experimental works involves the use of certain ...
The work with specific examples examines the main methods and techniques for processing the results ...
It is widely accepted that statistical analyses are essential tools for improving agronomic techniqu...
Abstract: Today, that the collection of biological data has been increasing at explosive rate, the ...
During the twentieth century statistical methods have transformed research in the experimental and s...
Biological response is characterized by variation: different organisms do not react in exactly the s...
The mass data obtained from scientific and practical experiments are mostly probable-random. The met...
Excerpt from the Foreword: In March of 1938 Dr. Shewhart, through the courtesy of the Bell Telephon...
This book aims to provide a brief and straightforward description on conducting a range of statistic...
In recent decades, the agricultural sector has witnessed rapid technological interventions from fiel...
THE value of statistical methods in in-terpreting the results of agricultural research has been quit...
One method of judging the effectiveness of the teaching of statistical methods is to rate the qualit...
This paper provides a brief discussion of the history of modern statistics, taking into account the ...
A brief reference manual on statistical methods for researchers in agriculture. It accompanies the r...
Today, that the collection of biological data has been increasing at explosive rate, the right proce...
Applying statistical methods to research studies and experimental works involves the use of certain ...
The work with specific examples examines the main methods and techniques for processing the results ...
It is widely accepted that statistical analyses are essential tools for improving agronomic techniqu...
Abstract: Today, that the collection of biological data has been increasing at explosive rate, the ...
During the twentieth century statistical methods have transformed research in the experimental and s...
Biological response is characterized by variation: different organisms do not react in exactly the s...
The mass data obtained from scientific and practical experiments are mostly probable-random. The met...
Excerpt from the Foreword: In March of 1938 Dr. Shewhart, through the courtesy of the Bell Telephon...
This book aims to provide a brief and straightforward description on conducting a range of statistic...