Statistics in Plain English
Edition: 2nd 2005 (Revised)
List price: $32.50
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Description: Statistics in Plain English, 2/eprovides 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 onnbsp;nonparametric statistics; *More graphs and more precise descriptions of each statistic; and * A 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.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $32.50
Copyright year: 2005
Publisher: Lawrence Erlbaum Associates, Incorporated
Publication date: 2/22/2005
Size: 9.00" wide x 10.50" long x 0.75" tall
|Introduction to Social Science Research and Terminology|
|Measures of Central Tendency|
|Measures of Variability|
|The Normal Distribution|
|Statistical Significance, Effect Size, and Confidence Intervals|
|One-Way Analysis of Variance|
|Factorial Analysis of Variance|
|Repeated-Measures Analysis of Variance|
|The Chi Square Test of Independence|