Basic Statistical Analysis For Applied Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Basic Statistical Analysis For Applied Sciences write by Wan Muhamad Amir W Ahmad. This book was released on 2022-07-23. Basic Statistical Analysis For Applied Sciences available in PDF, EPUB and Kindle. The advent of statistical tools is very robust through the statistical software. One of the famous software that is being used by thousands of researchers is SPSS. This book assists the readers to identify the types of analysis needed and clarify the differences between parametric and nonparametric analyses. This will guide the readers to choose the most effective statistical analysis to represent their case study. The simple and attractive, yet comprehensive presentation aims to provide the students, new or advanced researchers with understanding of the basic concept and the right procedure for data analysis. The provided guide will help in formulating good presentations and conclusions based on the results obtained and subsequently providing valuable information on statistical methods in applied research.
SPSS for Applied Sciences
SPSS for Applied Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook SPSS for Applied Sciences write by Cole Davis. This book was released on 2013-08-15. SPSS for Applied Sciences available in PDF, EPUB and Kindle. This book offers a quick and basic guide to using SPSS and provides a general approach to solving problems using statistical tests. It is both comprehensive in terms of the tests covered and the applied settings it refers to, and yet is short and easy to understand. Whether you are a beginner or an intermediate level test user, this book will help you to analyse different types of data in applied settings. It will also give you the confidence to use other statistical software and to extend your expertise to more specific scientific settings as required. The author does not use mathematical formulae and leaves out arcane statistical concepts. Instead, he provides a very practical, easy and speedy introduction to data analysis, offering examples from a range of scenarios from applied science, handling both continuous and rough-hewn data sets. Examples are given from agriculture, arboriculture, biology, computer science, ecology, engineering, farming and farm management, hydrology, medicine, ophthalmology, pharmacology, physiotherapy, spectroscopy, sports science, audiology and epidemiology.
Statistical Analysis of Empirical Data
Statistical Analysis of Empirical Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Empirical Data write by Scott Pardo. This book was released on 2020-05-04. Statistical Analysis of Empirical Data available in PDF, EPUB and Kindle. Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited background in statistical methodology who seek guidance in defending their statistical decision-making in the worlds of research and practice. It is devoted to helping students and scholars find the information they need to select data analytic methods, and to speak knowledgeably about their statistical research processes. Each chapter opens with a conundrum relating to the selection of an analysis, or to explaining the nature of an analysis. Throughout the chapter, the analysis is described, along with some guidance in justifying the choices of that particular method. Designed to offer statistical knowledge to the non-specialist, this volume can be used in courses on research methods, or for courses on statistical applications to biological, medical, life, social, or physical sciences. It will also be useful to academic and industrial researchers in engineering and in the physical sciences who will benefit from a stronger understanding of how to analyze empirical data. The book is written for those with foundational education in calculus. However, a brief review of fundamental concepts of probability and statistics, together with a primer on some concepts in elementary calculus and matrix algebra, is included. R code and sample datasets are provided.
Statistical Data Analysis Explained
Statistical Data Analysis Explained - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Data Analysis Explained write by Clemens Reimann. This book was released on 2011-08-31. Statistical Data Analysis Explained available in PDF, EPUB and Kindle. Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.
Applied Statistical Methods
Applied Statistical Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistical Methods write by Irving W. Burr. This book was released on 2014-05-10. Applied Statistical Methods available in PDF, EPUB and Kindle. Applied Statistical Methods covers the fundamental understanding of statistical methods necessary to deal with a wide variety of practical problems. This 14-chapter text presents the topics covered in a manner that stresses clarity of understanding, interpretation, and method of application. The introductory chapter illustrates the importance of statistical analysis. The next chapters introduce the methods of data summarization, including frequency distributions, cumulative frequency distributions, and measures of central tendency and variability. These topics are followed by discussions of the fundamental principles of probability, the concepts of sample spaces, outcomes, events, probability, independence of events, and the characterization of discrete and continuous random variables. Other chapters explore the distribution of several important statistics; statistical tests of hypotheses; point and interval estimation; and simple linear regression. The concluding chapters review the elements of single- and two-factor analysis of variance and the design of analysis of variance experiments. This book is intended primarily for advanced undergraduate and graduate students in the mathematical, physical, and engineering sciences, as well as in economics, business, and related areas. Researchers and line personnel in industry and government will find this book useful in self-study.
