activity-based statistics Reviewed
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activity-based statistics Overview
The second edition of Activity-Based Statistics, revised by Tim Erickson, remains true to the vision of the original, highly respected author team: A set of basic, hands-on, exploratory activities that can be completed without the use of technology. Because these activities are designed to be conducted with materials that are easily obtainable (coins, dice, pasta, paper, marbles, and so on), their implementation is made easy for any instructor without regard to budget concerns or technology proficiency. By making the activities fun and engaging the authors are promoting the idea that statistics is, indeed, an experimental science.
With over 40 activities from which to choose, instructors should easily find many that are appropriate for both the college introductory course curricula and AP Statistics. Using Activity-Based Statistics in addition to any standard introductory statistics text helps students experience statistics in context and discover its everyday relevance. Activities can be introduced once students have become familiar with standard statistics topics. The directions for each activity are simple and easy to understand, and most can be completed in one 50-minute class period.
The Instructor Resources includes a CD-ROM which includes: data sets for the book’s activities rendered in: Fathom, Excel, and Minitab. The CD also includes a limited use version of Fathom Dynamic Statistics™ software from Key Curriculum Press to allow instructors to present or demonstrate data from the text within the Fathom environment.
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Statistics in Psychology: An Historical Perspective Reviewed
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Statistics in Psychology: An Historical Perspective Overview
This book presents an historical overview of the field–from its development to the present–at an accessible mathematical level. This edition features two new chapters–one on factor analysis and the other on the rise of ANOVA usage in psychological research.
Written for psychology, as well as other social science students, this book introduces the major personalities and their roles in the development of the field. It provides insight into the disciplines of statistics and experimental design through the examination of the character of its founders and the nature of their views, which were sometimes personal and ideological, rather than objective and scientific. It motivates further study by illustrating the human component of this field, adding dimension to an area that is typically very technical.
Intended for advanced undergraduate and/or graduate students in psychology and other social sciences, this book will also be of interest to instructors and/or researchers interested in the origins of this omnipresent discipline.
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Statistics Tables: For Mathematicians, Engineers, Economists and the Behavioural and Management Sciences Reviewed
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Statistics Tables: For Mathematicians, Engineers, Economists and the Behavioural and Management Sciences Overview
For three decades, Henry Neave’s Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography and psychology. The period has seen a large increase in the level of mathematics and statistics required to achieve these qualifications and Statistics Tables has helped several generations of students meet their goals.
All the features of the first edition are retained including the full range of best-known standard statistical techniques, as well as some lesser-known methods that can be hard to track down elsewhere. The explanatory introductions to each section have been updated and the Second Edition benefits from the inclusion of a valuable and comprehensive new section on an approach to simple but powerful investigation of process data. This will help the book continue in its position as the prime statistical reference for all students of mathematics, engineering and the social sciences, and everyone who needs effective methods for analysing data.
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Uncategorized | admin, 3 Jul 11 | 
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