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.
Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.
Revised edition of the author's Statistics for people who (think they) hate statistics, 2014.
Continuing its hallmark use of humor and common sense, this text helps students develop an understanding of an often intimidating and difficult subject with an approach that is informative, personable, and clear.
This Student Study Guide includes chapter outlines, chapter summaries, learning objectives, key terms, true/false, short answer and essay questions.
Thank you to the following reviewers for their time and input: T. John Alexander, Texas Wesleyan University; Jamie V. Brown, Mercer University; Yeonsoo Kim, University of Nevada, Las Vegas; Linda Martinez, California State ...
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.
About Those Icons • Key to Difficulty Index • Glossary Learning objectives • Understand the purpose and scope of ... Sue Kemper, a professor of psychology, has studied the health of nuns, finding that the complexity of the nuns' writing ...
This edition shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques.
The Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics (International Student Edition) promises to ease student anxiety around an often intimidating subject with a humorous, personable, ...
Built on the premise that anyone can learn to use the R software, this book emphasizes using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis.