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Author: Neil J. Salkind
Genre: Social Science
Publisher: SAGE
ISBN: 1412924820
Book Pages: 403
Format: PDF, ePub & Mobi

Derived from his bestselling text Statistics for People Who (Think They) Hate Statistics, author Neil J. Salkind presents readers with The Excel Edition! Using the same personable and clear style that made previous editions so successful, this new edition teaches students how they can use Excel to learn the basics of statistics. This is not a text on how to use Excel, rather it illustrates how this program can make the statistics learning experience a better one.

Author: Neil J. Salkind
Genre: Social Science
Publisher: SAGE Publications
ISBN: 9781483374109
Book Pages: 544
Format: PDF, ePub & Mobi

Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.

Author: Neil J. Salkind
Genre: Social Science
Publisher: SAGE Publications
ISBN: 9781544381831
Book Pages: 512
Format: PDF, ePub & Mobi

Now in its Seventh Edition, Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS®, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won’t be intimidated by basic statistical tasks.

Author: Neil J. Salkind
Genre: Social Science
Publisher: SAGE Publications
ISBN: 9781544324562
Book Pages: 536
Format: PDF, ePub & Mobi

Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS® and Excel® versions are joined by a text for use with the R software, Statistics for People Who (Think They) Hate Statistics Using R. New co-author Leslie A. Shaw carries forward Salkind’s signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.

Author: Neil J. Salkind
Genre: Social Science
Publisher: SAGE Publications, Incorporated
ISBN: 1412917948
Book Pages: 424
Format: PDF, ePub & Mobi

NOW WITH SPSS STUDENT VERSION 13.0! The bestselling text Statistics for People Who (Think They) Hate Statistics teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. Researchers and students who find themselves uncomfortable with the analysis portion of their work have appreciated the book's unhurried pace and thorough, friendly presentation. For only \$25.00 extra on top of the price of the textbook, students can now buy this bundle which includes the textbook and a copy of SPSS Student Version 13.0.

Author: Neil J. Salkind
Genre: Mathematics
Publisher: Sage Publications (CA)
ISBN: 1412979366
Book Pages:
Format: PDF, ePub & Mobi

Author: Neil J. Salkind
Genre: Social Science
Publisher: SAGE
ISBN: 9781412979634
Book Pages: 104
Format: PDF, ePub & Mobi

Designed for users already familiar with basic computer operations, Neil J. Salkind's Excel Statistics: A Quick Guide shows readers how to utilize the features of Microsoft® Excel to answer both simple and complex questions about data analysis. Part I explores thirty Excel functions, each one detailed on a two-page spread. The description and use of each function appear on one page with corresponding screen shots of the function in action on the facing page, allowing the user to see what the function looks like as it is being applied. Part II of the text contains fifteen Analysis Toolpak tools, each explained using the same two-page spread design as for the functions. Excel novices and experts alike will find this text not only practical but easy to use and engaging. Key Features: - Each function and tool is accompanied by an Excel file, accessible through the SAGE Web site, to be used as an example of each analysis. Access these files through the SAGE website (www.sagepub.com/salkindexcelstats) or through www.onlinefilefolder.com. - The screenshots and steps feature Microsoft Excel 2010 and are compatible with Microsoft 97-2003 and Excel 5.0/95. - Designed to be used as both an introduction and a reference book as needed. Perfect as an accompaniment to existing introductory statistics books or in a lab setting.

Author: Neil J. Salkind
Genre:
Publisher:
ISBN: 1071811770
Book Pages:
Format: PDF, ePub & Mobi

Author: Neil J. Salkind
Genre: Philosophy
Publisher: SAGE
ISBN: 9781412961271
Book Pages: 1776
Format: PDF, ePub & Mobi

"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.

Author: Jacob Cohen
Genre: Psychology
Publisher: Routledge
ISBN: 9781134742776
Book Pages: 567
Format: PDF, ePub & Mobi

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.