Applied Statistics Using the Computer
| Author | : Ronald S. King |
| Publisher | : |
| Total Pages | : 477 |
| Release | : 1982 |
| Genre | : |
| ISBN | : 9780874846621 |
Applied Statistics Using The Computer
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Applied Statistics with Microsoft Excel
| Author | : Gerald Keller |
| Publisher | : Duxbury Resource Center |
| Total Pages | : 0 |
| Release | : 2001 |
| Genre | : Economics |
| ISBN | : 9780534371128 |
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.
Modern Applied Statistics with S
| Author | : W.N. Venables |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 501 |
| Release | : 2013-03-09 |
| Genre | : Mathematics |
| ISBN | : 0387217061 |
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
Applied Statistics Using the Computer
| Author | : Ronald S. King |
| Publisher | : |
| Total Pages | : 189 |
| Release | : 1982 |
| Genre | : Mathematical statistics |
| ISBN | : 9780882841793 |
Modern Applied Statistics with S-PLUS
| Author | : William N. Venables |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 562 |
| Release | : 2013-11-11 |
| Genre | : Mathematics |
| ISBN | : 1475727194 |
A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.
Applied Statistics for Business and Management using Microsoft Excel
| Author | : Linda Herkenhoff |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 426 |
| Release | : 2013-11-26 |
| Genre | : Computers |
| ISBN | : 1461484235 |
Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.
Applied Statistics with SPSS
| Author | : Eelko Huizingh |
| Publisher | : SAGE |
| Total Pages | : 368 |
| Release | : 2007-01-24 |
| Genre | : Social Science |
| ISBN | : 1446223000 |
Accessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. Based around the needs of undergraduate students embarking on their own research project, the text′s self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of doing their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms and worked examples. Divided into two parts, Applied Statistics Using SPSS covers : 1. A self-study guide for learning how to use SPSS. 2. A reference guide for selecting the appropriate statistical technique and a stepwise do-it-yourself guide for analysing data and interpreting the results. 3. Readers of the book can download the SPSS data file that is used for most of the examples throughout the book. Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.
Applied Statistics Using R
| Author | : Mehmet Mehmetoglu |
| Publisher | : SAGE |
| Total Pages | : 465 |
| Release | : 2021-11-10 |
| Genre | : Social Science |
| ISBN | : 1529766141 |
If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to use R packages and apply functions, adjusting them to suit different datasets. Gives you the tools to try new statistical techniques and empowers you to become confident using them. Encourages you to learn by doing when running and adapting the authors’ own code. Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect. Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.
Modern Applied Statistics with S-PLUS
| Author | : W.N. Venables |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 508 |
| Release | : 2013-04-17 |
| Genre | : Computers |
| ISBN | : 1475731213 |
This best-selling guide has been completely updated to present the newest features of S-PLUS 5.0, and includes the very latest computationally-intensive methods and techniques. In addition, extensive software libraries, data sets, and complements will be available online. "the task the authors have undertaken is challenginggetting new S/S-Plus users to quickly learn the fundamentals of the language and presenting a modern approach to data analysis through numerous examples from many areas of statistics. They succeed in this" TECHNOMETRICS
Applied Statistics Using SPSS, STATISTICA and MATLAB
| Author | : Joaquim P. Marques de Sá |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 466 |
| Release | : 2013-03-09 |
| Genre | : Mathematics |
| ISBN | : 3662058049 |
Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.
