It maintains a student oriented learning approach - concepts are clearly presented and are supported by many examples and problems that are designed to teach the essential knowledge of statistics. Maintaining a student-oriented learning environment, examples and problems are designed to teach the basics while remaining relevant to the real world -- of key importance to helping students understand the relevance of statistics.
Building upon the strenth of the first edition, the author has taken great strides to expand the Canadian sources for data sets, references and examples. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style.
Boddington defined as: Statistics is the science of estimates and probabilities. Further, W. King has defined Statistics in a wider context, the science of Statistics is the method of judging collective, natural or social phenomena from the results obtained by. Last edited by Tumuro. Basic statistics for business and economics Earl K.
Want to Read. Basic statistics for business and economics by Earl K. Written in English Subjects: Commercial statistics. Edition Notes Includes index. Statement Earl K. Bowen, Martin K. B65 The Physical Object Pagination xviii, p. Share this book. Barrie Cooke. Testing program for use with Basic physiology and anatomy. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects.
This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions.
The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow and presentation to facilitate reading and understanding; inclusion of additional topics of relevance to statistics and econometric applications; a more streamlined and simple-to-understand notation for multiple integration and multiple summation over general sets or vector arguments; updated examples; new end-of-chapter problems; a solution manual for students; a comprehensive answer manual for instructors; and a theorem and definition map.
This book has evolved from numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced undergraduates. Book Summary: This book is intended as a textbook for a first course in applied statistics for students of economics, public administration and business administration. A limited knowledge of mathematics and - in one single chapter - some knowledge of elementary matrix algebra is required for understanding the text.
Complicated mathematical proofs are avoided and the explanations are based on intuition and numerical examples. The aim of this book is to enable the student to understand the reasoning underlying a statistical analysis and to apply statistical methods to problems likely to be met within the fields of economics, public administration and business administration. The topics covered by the book are: - methods for exploratory data analysis - probability theory and standard statistical distributions - statistical inference theory - and three main areas of application: regression analysis, survey sampling and contingency tables.
The treatment of exploratory data analysis, regression analysis and the analysis of contingency tables are based on the most recent theoretical developments in these areas. Most of the examples have never been presented before in English textbooks. This is an extensively revised edition of a popular statistics textbook for business and economics students.
Designed for upper-level undergraduates, MBA and other graduate students, this book closely integrates various statistical techniques with concepts from business, economics and finance and clearly demonstrates the power of statistical methods in the real world of business. While maintaining the essence of the first edition, the new edition places more emphasis on finance, economics and accounting concepts with updated sample data.
Students will find this book very accessible with its straightforward language, ample cases, examples, illustrations and real-life applications.
The book is also useful for financial analysts and portfolio managers. Request Inspection Copy. A student-friendly approach to understanding forecasting. Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy.
The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.
Book Summary: 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. 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. Book Summary: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.
A classic text for accuracy and statistical precision. This text is also at a mathematically higher level than most business statistics texts and provides readers with the knowledge they need to become stronger analysts for future managerial positions.
The eighth edition of this book has been revised and updated to provide readers with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. Book Summary: Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena.
This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models.
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