Daniel Chilko's Books

Statistics for Research

By: Shirley Dowdy,Stanley Wearden,Daniel Chilko

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Statistics for Research

By: Shirley Dowdy,Stanley Wearden,Daniel Chilko

Praise for the Second Edition "Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."—The UMAP Journal Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it possible for today's statisticians to do more in less time than ever before. The Third Edition of this bestselling text reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. Based on extensive input from university statistics departments throughout the country, the authors have made several important and timely revisions, including: Additional material on probability appears early in the text New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic regression New examples and exercises, many from the field of the health sciences Printouts of computer analyses on all complex procedures An accompanying Web site illustrating how to use SAS® and JMP® for all procedures The text features the most commonly used statistical techniques for the analysis of research data. As in the earlier editions, emphasis is placed on how to select the proper statistical procedure and how to interpret results. Whenever possible, to avoid using the computer as a "black box" that performs a mysterious process on the data, actual computational procedures are also given. A must for scientists who analyze data, professionals and researchers who need a self-teaching text, and graduate students in statistical methods, Statistics for Research, Third Edition brings the methodology up to date in a very practical and accessible way.

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646

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471477427

ISBN 13

9780471477426

Applied Univariate, Bivariate, and Multivariate Statistics

Understanding Statistics for Social and Natural Scientists, With Applications in SPSS and R

By: Daniel J. Denis

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Applied Univariate, Bivariate, and Multivariate Statistics

Understanding Statistics for Social and Natural Scientists, With Applications in SPSS and R

By: Daniel J. Denis

AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND BEHAVIORAL SCIENCES The revised and updated second edition of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R contains an accessible introduction to statistical modeling techniques commonly used in the social and behavioral sciences. The text offers a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques using software packages such as R and SPSS®. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. The thoroughly updated edition includes new chapters on nonparametric statistics and multidimensional scaling, and expanded coverage of time series models. The second edition has been designed to be more approachable by minimizing theoretical or technical jargon and maximizing conceptual understanding with easy-to-apply software examples. This important text: Offers demonstrations of statistical techniques using software packages such as R and SPSS® Contains examples of hypothetical and real data with statistical analyses Provides historical and philosophical insights into many of the techniques used in modern social science Includes a companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options Written for students of social and applied sciences, Applied Univariate, Bivariate, and Multivariate Statistics, Second Edition offers a text to statistical modeling techniques used in social and behavioral sciences.

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576

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119583020

ISBN 13

9781119583028

Natural History of the Pacific Northwest Mountains

By: Daniel Mathews

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Natural History of the Pacific Northwest Mountains

By: Daniel Mathews

“Everything you could possibly want to know about the plants, animals, geology, climate and fungi of the Pacific Northwest mountains.” —The Oregonian Natural History of the Pacific Northwest Mountains is an engagingly written, portable history of Cascadia. It includes details about and identification tips for the flora, fauna, and geology of the region. If you are looking for a simple way to discover the great outdoors, this is the perfect overview of the Pacific Northwest. Covers the Coastal and Cascade Mountain Ranges, as well as the Olympic Mountains and Coast Mountains of southern British Columbia Describes more than 950 species of plants, animals, and mushrooms with helpful keys for easy identification User-friendly, color coded layout Compelling stories of the region’s plants, animals, and people bring the mountains alive The essential trailside reference for naturalists, hikers, and campers

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585

Publisher

Timber Press

Published Date

ISBN 10

1604697849

ISBN 13

9781604697841

Book's by Daniel Chilko

Statistics for Research

Statistics for Research

Applied Univariate, Bivariate, and Multivariate Statistics

Applied Univariate, Bivariate, and Multivariate Statistics

Natural History of the Pacific Northwest Mountains

Natural History of the Pacific Northwest Mountains

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