Core Statistical Concepts With Excel® PDF Download
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Author: Gregory J. Privitera
Publisher: SAGE Publications
ISBN: 1544309058
Category : Psychology
Languages : en
Pages : 326
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Book Description
Core Statistical Concepts with Excel® connects statistical concepts to applications with Excel® using practical research examples. The text jointly promotes an understanding of Excel® and a deeper knowledge of core concepts through practice. Authors Gregory J. Privitera and Darryl Mayeaux provide students step-by-step instruction for using Excel® software as a useful tool not only to manage but also analyze data—all through the use of key themes, features, and pedagogy: an emphasis on student learning, a focus on current research, and integration of Excel® to introduce statistical concepts.
Author: Gregory J. Privitera
Publisher: SAGE Publications
ISBN: 1544309058
Category : Psychology
Languages : en
Pages : 326
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Book Description
Core Statistical Concepts with Excel® connects statistical concepts to applications with Excel® using practical research examples. The text jointly promotes an understanding of Excel® and a deeper knowledge of core concepts through practice. Authors Gregory J. Privitera and Darryl Mayeaux provide students step-by-step instruction for using Excel® software as a useful tool not only to manage but also analyze data—all through the use of key themes, features, and pedagogy: an emphasis on student learning, a focus on current research, and integration of Excel® to introduce statistical concepts.
Author: Joseph Schmuller
Publisher: John Wiley & Sons
ISBN: 111846432X
Category : Computers
Languages : en
Pages : 552
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Book Description
Take the mystery out of statistical terms and put Excel to work! If you need to create and interpret statistics in business or classroom settings, this easy-to-use guide is just what you need. It shows you how to use Excel's powerful tools for statistical analysis, even if you've never taken a course in statistics. Learn the meaning of terms like mean and median, margin of error, standard deviation, and permutations, and discover how to interpret the statistics of everyday life. You'll learn to use Excel formulas, charts, PivotTables, and other tools to make sense of everything from sports stats to medical correlations. Statistics have a reputation for being challenging and math-intensive; this friendly guide makes statistical analysis with Excel easy to understand Explains how to use Excel to crunch numbers and interpret the statistics of everyday life: sales figures, gambling odds, sports stats, a grading curve, and much more Covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends, and correlations Clarifies statistical terms such as median vs. mean, margin of error, standard deviation, correlations, and permutations Statistical Analysis with Excel For Dummies, 3rd Edition helps you make sense of statistics and use Excel's statistical analysis tools in your daily life.
Author: James B. Orris
Publisher: McGraw-Hill Higher Education
ISBN: 9780071254311
Category : Mathematical statistics
Languages : en
Pages : 345
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Book Description
This new text offers an Excel-focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction. Modern computing tools and applications are introduced, and the text maintains a strong focus on presenting statistical concepts as applied using Excel, enhanced by MegaStat, the Excel add-in created by the author and used as a standard for all McGraw-Hill/Irwin Business Statistics textbooks. The text enables students to take full advantage of Excel to develop and drive problem-solving skills. As a one-color paperback, it is also a competitive low-cost alternative to most of the higher-priced books in the market.
Author: Kenneth M. Rosenberg
Publisher: Wadsworth Publishing Company
ISBN: 9780495186953
Category : Mathematical statistics
Languages : en
Pages : 0
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Book Description
Master statistical concepts and computational procedures with EXCEL STATISTICS COMPANION ON CD-ROM AND MANUAL! A collection of demonstrations, sampling experiments, and interactive experiments, this CD-ROM/manual package provides you with hands-on experience you need to succeed in statistics. With on-screen instructions, reviews, and step-by-step approaches, you will easily learn basic statistical concepts and how to use computer programs to solve problems.
Author: Dan Remenyi
Publisher: Academic Conferences Limited
ISBN: 1908272929
Category : Electronic books
Languages : en
Pages : 220
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Book Description
This book explains the statistical concepts and then uses Microsoft Excel functions to illustrate how to get results using the appropriate techniques which will help researchers directly with their research.
Author: Richard M. Heiberger
Publisher: Springer Science & Business Media
ISBN: 1441900527
Category : Computers
Languages : en
Pages : 357
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Book Description
In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming language.
Author: Kilem Li Gwet
Publisher: Advanced Analytics Press
ISBN: 9780970806291
Category : Education
Languages : en
Pages : 558
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Book Description
This book presents basic statistical concepts, and methods with a particular emphasis on their meaning, and practicality in real life. Many introductory statistics texts do not provide the practical motivations behind the techniques, nor the reasons why the techniques were formulated the way they are. With the specific approach used in this book, the motive behind the statistical concepts and methods being described is put forward. The main purpose of the methods will be kept before the reader, and used as often as needed to justify each step taken. A particular effort is made towards reconciling statistical logic and common sense, with the objective of gaining insight into the real value of the statistical solution.
Author: Christian N. Madu
Publisher: Chi Publishers Inc
ISBN: 9780967602325
Category : Business & Economics
Languages : en
Pages : 182
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Book Description
This title has been written as a basic statistical applications book for non-statistics majors. It focuses on the use of Microsoft Excel Add-Ins function in analyzing basic statistical problems. It is intended for beginners, and it introduces statistical concepts in ways that may be relevant to practitioners. The data used throughout the book is based on responses to common social issues. This way, the book can be relevant to multiple users with different backgrounds. The topics covered include: questionnaire design, descriptive statistics; hypothesis testing; confidence interval estimation; nonparametric statistics; and simple and multiple regression analysis. of statistics. Students majoring in business, health sciences, and social sciences are also likely to find the book useful in understanding statistical concepts. Practitioners who may be interested in exploring the power of Microsoft Excel for statistical analysis should also find the book very useful.
Author: Gerald Keller
Publisher: Duxbury Resource Center
ISBN: 9780534371128
Category : Economics
Languages : en
Pages : 0
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Book Description
Gerald Keller's new APPLIED STATISTICS WITH MICROSOFT® EXCEL integrates Excel into the general introductory statistics course. Keller, the co-author of the market-leading STATISTICS FOR MANAGEMENT AND ECONOMICS, Fifth Edition, incorporates his proven three-step problem-solving process throughout this book. The first step, "Identify," is the work a statistician does before the calculations are performed, which entails organizing the experiment, gathering the data, and deciding which statistical techniques to employ. The second step, "Compute," is the computation with Excel. In this step, Keller shows the manual calculation for the simplest of techniques only. For example, he describes how to calculate the sample mean, variance, and standard deviation, how to compute the z-interval estimate of, and the z-test of. The third step, "Interpret," is the interpretation of the computer output, which requires an understanding of statistical concepts.
Author: Galit Shmueli
Publisher: John Wiley & Sons
ISBN: 111954985X
Category : Mathematics
Languages : en
Pages : 608
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Book Description
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
