University of Agricultural Sciences, Bangalore

Chapter 1 : Introduction -- Chapter 2 : Review of testing of statistical hypotheses -- Chapter 3 : Choosing an appropriate statistical test -- Chapter 4 : Scales of Measurement -- Chapter 5 : Parametric Vs Non parametric tests -- Chapter 6 : Introduction to one sample tests - The binomial test -- Chapter 7 : Introduction to two related sample tests -- Chapter 8 : Introduction to two independent sample tests -- Chapter 9 : Introduction to K Related Sample tests -- Chapter 10 : Introduction to K independent sample tests Chapter 11 : Test based on measures of association -- Chapter 12 : The Mann-Kendall trend test -- References -- Statistical tables

The book entitled Non parametric statistical methods can be used as a reference manual in graduate and post-graduate courses that are designed to cove a broad spectrum of non parametric statistical procedures. A unique feature of the manual, which distinguishes it from other reference manuals on statistics, is that it provides the reader with a practical guide that emphasizes application over theory. Although the manual will be of practical value to statistically sophisticated individuals who are involved in research, it is also accessible to those who lacked the theoretical and or mathematical background required for understanding the material documented in other manuals,. Since a major goal of the manual is to serve as a practical guide, emphasis is placed on decision making with respect to which test is most appropriate to employ in evaluating a specific design. Within the framework of being user-friendly, clear computational guidelines, accompanied by easy-to-understand examples, are provided for all procedures.