A very useful and well-conceived book . . . The book aims at a varied range of readers. Mainly, the book has two parts: the basic statistics part and the specialized chapters. In the first chapter, the authors have tried to cover almost all the basic needs of users of statistics in the field of agriculture. Topics like central tendency, dispersion, correlation-regression, testing of hypothesis, and widely used probability distributions, like normal, binomial, etc., have been covered in this chapter. For a user having no or limited knowledge of statistics, this chapter will be of very much help.
For an inquisitive and interested reader, the specialized chapters on design of experiments, statistical inference, sampling techniques, time series, and index number analysis will definitely draw attention. The authors have intended to provide in-depth of coverage each of these topics . . . The most important part of the book is most probably the last two chapters. Statistical software has made it possible for wide applications of statistical theories in everyday life and science. In these two chapters, the authors provide overviews of some of the statistical software programs and their uses in solving statistical problems. Numerical problems solved with the help of the software in the form of demonstration will encourage users to use more and more sophisticated statistical tools in unearthing the so long hidden information from their respective fields. By and large, the book will be appreciated by the readers in agriculture.
- Prof. P. K. Sahu, Professor, Department of Agricultural Statistics, Bidhan Chandra Agricultural University, West Bengal, India A very useful and well-conceived book . . . The book aims at a varied range of readers. Mainly, the book has two parts: the basic statistics part and the specialized chapters. In the first chapter, the authors have tried to cover almost all the basic needs of users of statistics in the field of agriculture. Topics like central tendency, dispersion, correlation-regression, testing of hypothesis, and widely used probability distributions, like normal, binomial, etc., have been covered in this chapter. For a user having no or limited knowledge of statistics, this chapter will be of very much help.
For an inquisitive and interested reader, the specialized chapters on design of experiments, statistical inference, sampling techniques, time series, and index number analysis will definitely draw attention. The authors have intended to provide in-depth of coverage each of these topics . . . The most important part of the book is most probably the last two chapters. Statistical software has made it possible for wide applications of statistical theories in everyday life and science. In these two chapters, the authors provide overviews of some of the statistical software programs and their uses in solving statistical problems. Numerical problems solved with the help of the software in the form of demonstration will encourage users to use more and more sophisticated statistical tools in unearthing the so long hidden information from their respective fields. By and large, the book will be appreciated by the readers in agriculture.
- Prof. P. K. Sahu, Professor, Department of Agricultural Statistics, Bidhan Chandra Agricultural University, West Bengal, India
