Author : David Freedman
Genre : Mathematics
Publisher : W. W. Norton & Company
ISBN : 9780393930436
Type book : PDF, Epub, Kindle and Mobi
File Download : 6 page

The Fourth Edition has been carefully revised and updated to reflect current data.

Author : David Diez
Genre :
Publisher :
ISBN : 1943450048
Type book : PDF, Epub, Kindle and Mobi
File Download : page

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

Author : Neil J. Salkind
Genre : Social Science
Publisher : SAGE Publications
ISBN : 9781483374109
Type book : PDF, Epub, Kindle and Mobi
File Download : 620 page

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 : Alan Agresti
Genre : Business & Economics
Publisher :
ISBN : 1292021667
Type book : PDF, Epub, Kindle and Mobi
File Download : 576 page

The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to "real data" both in the examples and exercises. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. On the other hand, the text is not a cookbook. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice. Changes in the Fourth Edition: Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact on the way social scientists analyze data. Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis. Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. This edition also has an appendix explaining how to apply SPSS and SAS to conduct the methods of each chapter and a website giving links to information about other software.

Author : ELIZABETH CLARE. PATRICIA PROPHET (SPADARO.)
Genre :
Publisher :
ISBN : 8184959362
Type book : PDF, Epub, Kindle and Mobi
File Download : page

Author : Catherine Forbes
Genre : Mathematics
Publisher : John Wiley & Sons
ISBN : 9781118097823
Type book : PDF, Epub, Kindle and Mobi
File Download : 230 page

A new edition of the trusted guide on commonly used statistical distributions Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis. Following a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and formulas. Reflecting the latest changes and trends in statistical distribution theory, the Fourth Edition features: A new chapter on queuing formulas that discusses standard formulas that often arise from simple queuing systems Methods for extending independent modeling schemes to the dependent case, covering techniques for generating complex distributions from simple distributions New coverage of conditional probability, including conditional expectations and joint and marginal distributions Commonly used tables associated with the normal (Gaussian), student-t, F and chi-square distributions Additional reviewing methods for the estimation of unknown parameters, such as the method of percentiles, the method of moments, maximum likelihood inference, and Bayesian inference Statistical Distributions, Fourth Edition is an excellent supplement for upper-undergraduate and graduate level courses on the topic. It is also a valuable reference for researchers and practitioners in the fields of engineering, economics, operations research, and the social sciences who conduct statistical analyses.

Author : Timothy C. Urdan
Genre : Mathematics
Publisher : Psychology Press
ISBN : 9780805834420
Type book : PDF, Epub, Kindle and Mobi
File Download : 162 page

This book presents statistical concepts and techniques in simple, everyday language to help readers gain a better understanding of how they work and how to interpret them correctly. Each self-contained chapter features a description of the statistic including how it is used and the information it provides, how to calculate the formula, the strengths and weaknesses of each technique, the conditions needed for its use, and an example that uses and interprets the statistic. A glossary of terms and symbols is also included along with an Interactive CD with PowerPoint presentations and problems and solutions for each chapter. This brief paperback is an ideal supplement for statistics, research methods, or any course that uses statistics, or as a handy reference tool to refresh one's memory about key concepts. The actual research examples are from a variety of fields, including psychology and education.

Author : J.K. Sharma
Genre : Business & Economics
Publisher : Vikas Publishing House
ISBN : 9789325980815
Type book : PDF, Epub, Kindle and Mobi
File Download : 737 page

The fourth edition of Business Statistics builds upon the easy-to-understand, problem-solving approach that was the hallmark of the previous editions. Through detailed discussions on procedures that facilitate interpretation of data, this book enables readers to make more considered and informed business decisions. Using tools of application and practice in a variety of solved examples and practice problems, this book will sharpen the students’ understanding of basic statistical techniques. Business Statistics, 4e, serves as a core textbook for students of management, commerce and computer science studying business statistics for degrees in BBA/MBA/PGDBM, BCom /MCom, CA/ICWA, and BE/ BTech /MCA as well as for those preparing for professional and competitive examinations. Key Features • Learning Objectives clearly outline the learning outcomes of each chapter • Case Studies illustrate a variety of business situations and suggest solutions to managerial issues using specific statistical techniques • A Chapter Concepts Quiz at the end of each chapter reinforces students' understanding of the basic principles and applications • Conceptual Questions, Self-Practice Problems, Review Self-Practice Problems with Hint and Answers enable students, after each chapter, to practice and then evaluate themselves

Author : Allan J. Rossman
Genre : Mathematics
Publisher : Springer Science & Business Media
ISBN : 1930190085
Type book : PDF, Epub, Kindle and Mobi
File Download : 704 page

This book focuses on probability and the Bayesian viewpoint. It presents basic material on probability and then introduces inference by means of Bayes'rule. The emphasis is on statistical thinking and how one learns from data. The objective is to present the basic tenets of statistical inference. Unique in its format, the text allows students to discover statistical concepts, explore statistical principles, and apply statistical techniques. In addition to the numerous activities and exercises around which the text is built, the book includes a basic text exposition for each topic, and data appendices.

Author : Rudolf J. Freund
Genre : Mathematics
Publisher : Academic Press
ISBN : 0080961037
Type book : PDF, Epub, Kindle and Mobi
File Download : 824 page

Statistical Methods, Third Edition, provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach that emphasizes concepts and techniques for working out problems and intepreting results. The book includes research projects, real-world case studies, numerous examples, and data exercises organized by level of difficulty. Students are required to be familiar with algebra. This updated edition includes new exercises applying different techniques and methods; new examples and datasets using current real-world data; new text organization to create a more natural connection between regression and the Analysis of the Variance; new material on generalized linear models; new expansion of nonparametric techniques; new student research projects; and new case studies for gathering, summarizing, and analyzing data. Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications Accessibile to students who may not have a background in probability or calculus Offers reader-friendly exposition, without sacrificing statistical rigor Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics