Browsing by Author "Ndunguru Philibert, C."

Now showing 1 - 2 of 2

Basic concepts of probability theory
(Research, Information and Publication Department, 2001) Ndunguru Philibert, C.
This book is organized into four parts which are logically and systematically presented. Part one, sets the fundamental aspects of probability theory in which apart from introducing the reader to the basic vocabulary of the subject, it also answers three fundamental questions for learning probability theory. These are: What basic outcomes are possible; How many such possibilities exist and what basic outcome is likely to happen, for a given random experiment or phenomenon. The algebra of probability is discussed in part two, while part three focuses on building probability models based on simple statistical random experiments. The last part deals with the application of probability theory in decision making. Moreover there are problems at the end of each chapter which the reader can test the understanding of the material covered. Besides, each chapter begins with a clear statement about the silent features of the issues discussed in it. This is meant to guide the reader to have a sense of direction while reading the chapter.
Non-parametric statistics
(Mzumbe University, 2009) Ndunguru Philibert, C.
The book is structured as follows: Chapter one introduces the basic concepts of a statistical inference problem. Chapter two focuses on inference techniques that are appropriate for nominal data. Chapters three and four dwell on inference techniques using ordinal data; with chapter three focusing on sample median test techniques and chapter four on rank-sum techniques. Both techniques typically rely on data that are capable of being ranked. Chapter five is exclusively presenting material on testing randomness of a set of sample observations, which is a universal premise for all inference methods. The technique adopted in this book is based on Wald-Wolfowitz one-sample runs test procedure. The final chapter dwells on correlational inference techniques that are appropriate for nominal and/or ordinal data. The author has streamlined the material to be reader-friendly. The solved examples, exercises, and review questions that are drawn from real and contextualized business, economics, management, and social life situations enable readers to understand the topical concepts covered. The optional exercises on parametric techniques enable readers to reflect on the link between parametric and non-parametric statistical techniques as applied in social science research. Chapters two through six each contain a section on SPSS tutorial, in which the use of SPSS software in solving non- Parametric inference problems is demonstrated. In this way, readers get to know and/or exercise their skills in the application of the statistical package.