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.
The bestselling text Statistics for People Who (Think They) Hate Statistics is the basis for this completely adapted Excel version. Author Neil J. Salkind presents 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 will appreciate this book’s unhurried pace and thorough, friendly presentation. Salkind begins the Excel version with a complete introduction to the software, and 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. He then walks students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Pedagogical features include sidebars offering additional technical information about the topic and set-off points that reinforce major themes. Finally, questions to chapter exercises, a complete glossary, and extensive Excel functionality are located at the back of the book.
In this text, author Neil J. Salkind guides readers through the fundamentals of tests and measurement, using the conversational writing style and straightforward presentation techniques that has made his book Statistics for People Who (Think They) Hate Statistics a bestseller. Tests & Measurement For People Who (Think They) Hate Tests & Measurement provides an overview of the many different facets of testing including the design and use of tests and some of the basic social, political, and legal issues that the process of testing involves. This engaging text introduces students to advanced issues and explains why those topics are important.
A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.
Moving to Excel 2007 is not a routine upgrade. Microsoft's radical redesign of the application's user interface has led to confusion among many who people who have relied on Excel for years. Our new edition of the Excel 2007 Pocket Guide has been written from the ground up to help newcomers and longtime users alike find their way around without getting lost. With this book in hand, you'll be able to find your favorite Excel tools quickly. It's packed with information to guide beginners through the basics of creating spreadsheets and entering data, while providing advanced users with information on formulas, pivot tables, and more. Inside, you'll find: A visual guide to the new "Ribbon" interface that helps users find familiar tools A section designed to give beginners enough information to dive right in and start creating rich Excel workbooks immediately Quick answers about how to perform specific tasks in Excel, such as working with files, editing data, formatting, summarizing and displaying data Convenient techniques for connecting data across worksheets and projects Help for moving from the basics of spreadsheet construction to more advanced features This edition also includes an extensive reference on commonly used formulas, which reveal at a glance the many possibilities Excel 2007 provides for easy calculation. Tasks in the book are presented as answers to "How do I..." questions -- such as "How do I change the formatting of part of a cell's contents?" -- followed by concise instructions for performing the task. You'll learn ways to customize Excel to fit your needs, and how to share workbooks and collaborate with others. And much more. Don't let Excel 2007 baffle you. Pick up this convenient pocket guide and learn to navigate this redesigned application with ease.
The 6th edition of "Exploring Research" provides an introduction to research methods in a friendly, approachable writing style. It explores the use of electronic sources (the Internet) as a means to enhance research skills; it includes discussions about scientific methods; and it incorporates the most common types of research models in the social and behavioral sciences, including qualitative methods. It provides coverage of the research process, problem selection, sampling and generalizability; a discussion of the measurement process provides a comprehensive resource for those seeking to further their research skills. It also describes how to collect and analyze data, and provides thorough instruction on how to prepare and write a research proposal and manuscript. Principles of data analysis are exemplified using SPSS 13.x. An excellent handbook for those in the social, behavioral, and health science fields.
This technical book aim to equip the reader with R programming fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own R programs for Statistical application for Data Exploration in Data Mining. Asides, we have also uploaded some of our own softwares at: http://DSTK.Tech Contents 1. Introduction 2. R Syntax (Variables, Lists, ...) 3. Descriptive Statistics (Standard Deviation, Percentile, ...) 4. Data Visualizations (boxplot, histogram, scatter, ...) 5. Inferential Statistics (ANOVA, Wilcoxon, ...) 6. Conclusion This book has been taught at Udemy and EMHAcademy.com. Use the following Coupon to get the Udemy Course at $11.99: https://www.udemy.com/fundamentals-of-r-for-applied-statistics/?couponCode=EBOOKSPECIAL
Written in an accessible style using simple and direct language, Communication Research Statisticsguides students through the statistics actually used in most empirical research in communication and the social sciences. This book is the only work in communication that includes details on statistical analysis of data with a full set of data analysis instructions based on SPSS 12 and Excel.
This one-stop reference combines the in-a-nutshell approach with detailed comprehensive information, providing readers with everything they need to know about the premier spreadsheet application. Throughout the book, readers will find handy tips to help make better power use of the many new features available in Excel 2000.
This book aim to equip the reader with Java Programming, Text Mining and Natural Language Processing basics. There will be many examples and explanations that are lucid and straight to the point. You will be walked through various projects and develop your own text mining application. This book will show you how to use Stanford NLP libraries also. Asides, we have also uploaded some of our own softwares at: http://DSTK.Tech Content Covered: IntroductionGetting Started (Installing IDE, ...)Language Essentials I (variables, data types, ...)Language Essentials II (loops, if... else..., methods)Object Essentials (classes, inheritance, polymorphism, encapsulation, ...)Text Mining Essentials (Import Text Files, Text Transformation (lowercase, stopwords), Text Understanding (Stanford NLP), Text Classification (Stanford Classifier) )ISBN: 978-1-63535-546-8