The STA644 – Non-Parametric Statistics Book is the textbook for students who get enrolled in the course of STA 644 at Virtual University. This book introduces nonparametric statistical methods to the student, which are extremely useful in situations where data does not usually meet the assumptions required for most parametric tests. Non-parametric statistics are used in ordinal data or data that is not normally distributed; hence, this book is highly relevant to students of various disciplines such as social sciences, healthcare, and business research.
The book in non-parametric statistics-STA644, covers wide topics starting right from the basics of non-parametric tests: chi-square test, Mann-Whitney U test, Kruskal-Wallis test, and the Wilcoxon signed-rank test. It is useful in data analysis wherein the distribution is not put to assume a particular form and hence allows flexibility in the handling of different kinds of data.
Through this book, students will understand the principles underlying non-parametric tests and how such tests can be applied in a real situation. The application of such statistical methods in practice is emphasized in this book, with examples, exercises, and case studies on how the techniques of non-parametric analysis can be applied in an attempt to solve a research problem effectively.
Besides that, STA644: Non-Parametric Statistics Book provides an explanation, which is very critical to know when the non-parametric methods are supposed to be used instead of the parametric ones; this will be enabling students in making wiser choices when doing data analysis. It orients students toward the handling of data with fewer assumptions, hence making the book an asset for any researcher and professional in those areas where data do not fit into traditional models.
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