Introductory & Intermediate Statistics
Showing 1-10 of 29 results (3 pages in total)
An Introduction to Statistical Concepts
Third Edition
- By Richard G. Lomax, and Debbie L. Hahs-Vaughn.
Published March 2012
This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret…
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Statistical Concepts
A Second Course
- By Richard G. Lomax, and Debbie L. Hahs-Vaughn.
Published March 2012
Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better…
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Effect Sizes for Research
Univariate and Multivariate Applications, Second Edition
- By Robert J. Grissom, and John J. Kim.
Published November 2011
Noted for its comprehensive coverage, this greatly expanded new edition now covers the use of univariate and multivariate effect sizes. Many measures and estimators are reviewed along with their application, interpretation, and limitations. Noted for its practical approach, the book features…
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Statistics Tables
For Mathematicians, Engineers, Economists and the Behavioural and Management Sciences
- By Henry Neave.
Published August 2011
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…
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Elementary Statistics Tables
- By Henry Neave.
Published August 2011
This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is…
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Understanding The New Statistics
Effect Sizes, Confidence Intervals, and Meta-Analysis
- By Geoff Cumming.
Published July 2011
This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested…
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IBM SPSS for Intermediate Statistics
Use and Interpretation, Fourth Edition
- By Nancy L. Leech, Karen C. Barrett and George A. Morgan.
Published May 2011
Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design, perform intermediate statistics, including multivariate statistics, interpret output, and write about the results. The book…
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IBM SPSS for Introductory Statistics
Use and Interpretation, Fourth Edition
- By George A. Morgan, Nancy L. Leech, Gene W. Gloeckner and Karen C. Barrett.
Published July 2010
Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The…
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Statistics in Plain English, Third Edition
- By Timothy C. Urdan.
Published May 2010
This inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and…
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Research Design and Statistical Analysis
Third Edition
- By Jerome L. Myers, Arnold D. Well and Robert F. Lorch Jr.
Published May 2010
Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations.&…
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