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Ladataan... Statistics in Plain English, 2nd Edition (vuoden 2005 painos)Tekijä: Timothy C. Urdan
TeostiedotStatistics in plain English (tekijä: Timothy C. Urdan)
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Statistics in Plain English, Second Edition provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly.It presents brief explanations of statistical concepts and techniques in simple, everyday language. Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution;new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one onnonparametric statistics;more graphs and more precise descriptions of each statistic; anda discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column. Kirjastojen kuvailuja ei löytynyt. |
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Gladly, this is not a typical textbook of Statistics with a definition-formula-problems template. This book helps you understand Statistics in a very intuitive manner. The topics explained here will absolutely form the foundation for any further areas of research like Data Science and other analytics techniques. ( )