MyStatLab online course materials available with ISBN 9780133865004.
Score higher in your business statistics course? Easy. Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons. Business Statistics For Dummies tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics. Shows you how to use statistical data to get an informed and unbiased picture of the market Serves as an excellent supplement to classroom learning Helps you score your highest in your Business Statistics course If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered.
Black's latest outstanding pedagogy of Business Statistics includes the use of extra problems called "Demonstration Problems" to provide additional insight and explanation to working problems, and presents concepts, topics, formulas, and application in a manner that is palatable to a vast audience and minimizes the use of "scary" formulas. Every chapter opens up with a vignette called a "Decision Dilemma" about real companies, data, and business issues. Solutions to these dilemmas are presented as a feature called "Decision Dilemma Solved." In this edition all cases and "Decision Dilemmas" are updated and revised and 1/3 have been replaced for currency. There is also a significant number of additional problems and an extremely competitive collection of databases (containing real data) on: international stock markets, consumer food, international labor, financial, energy, agribusiness, 12-year gasoline, manufacturing, and hospital.
Featuring an intuitive approach to statistics, this book uniquely fills a gap in the current literature by presenting a comprehensive introduction to the fundamental statistics concepts with in the fields of business and economics. The author maintains clear and insightful explanations of the core concepts and techniques in statistics without relying on mathematical rigor including equations and theorems. Maintaining a concise exposition with minimal distractions, the book follows a comprehensive trajectory within each chapter by providing clear explanations to the key concepts. This approach is intentional so that readers to learn in a linear fashion to better understand the core concepts. The book features a brief summary of the key elements at the end of each chapter in order to reinforce the presented concepts and uses running examples throughout so that the same example is referenced to illustrate a variety of concepts. Mathematical formulae and notation is delegated to technical appendices at the end of each chapter, and a glossary of terms is also provided. Topical coverage includes: statistics, data, and statistical thinking; descriptive statistics; probability; probability distributions; sampling distributions; confidence intervals; hypotheses tests; design of experiments and analysis of variance; simple linear regression; model building; time series and forecasting; and nonparametric statistics.
Practical Business Statistics, Seventh Edition, provides a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book provides deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This valuable, accessible approach teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results. The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details. Provides users with a conceptual, realistic, and matter-of-fact approach to managerial statistics Offers an accessible approach to teach present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand concepts and to interpret results Features updated examples and graphics (200+ figures) to illustrate important applied uses and current business trends Includes robust ancillary instructional materials such as an instructor’s manual, lecture slides, and data files to save you time when preparing for class
This Book Has Been Written In Such A Way That The Study Of Statistics Is Made Interesting And It Has Been Oriented Towards Application Of Statistical Techniques To A Variety Of Real Life Problems. Most Of The Existing Books Discuss Application Of Statistical Techniques To Problems Such As Height And Weight, Ages Of Husband And Wife, Etc. There Is Hardly Any Book Which Is Contextually Relevant For Teaching Statistics At The Undergraduate Level. An Attempt Has Been Made In This Book To Bridge This Gap.Authors Have Introduced Varied Real Life Examples By Including A Large Number Of Solved Examples To Illustrate How Statistical Techniques Can Actually Be Applied To A Wide Variety Of Real Life Problems. Many Illustrations Have Been Drawn From Various University Examinations Also. In Addition, To Provide An Opportunity Of Students To Gain More Skills To Apply The Concepts, Large Number Of Problems Have Been Included At The End Of Each Chapter. The Book Contains Fifteen Chapters And The Concepts Have Been Discussed In A Simple Language. The Book Is Meant For Undergraduate Students Of All Indian Universities. It Will Also Serve As A Text For The Professional Examinations, Including Ca And Costing.
Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product. The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.
Packed with key definitions, concepts, and equations, our Business Statistics guide covers how to read and use data to make clear business decisions. This essential reference tool is written and organized for quick access to critical points allowing students and professionals to increase grades and sharpen skills of collecting, organizing, and summarizing data for business.
Business Statistics and Accounting: Made Simple focuses on the principles, approaches, and operations involved in business statistics and accounting, including book-keeping, value added tax, cash and credit, and trial balance. The book first takes a look at basic numerical knowledge, introduction to business statistics, and classification and tabulation. Discussions focus on frequency distributions, discrete and continuous variables, approximation and error, simple mathematical symbols, importance of business calculations, calculating percentages of quantities, and powers and roots. The text then elaborates on time series, pictorial representation of statistical data, graphs, and mean, median, and mode. The manuscript examines the nature and purpose of accounting, double-entry book-keeping to the trial balance level, books of original entry, value added tax, and accounting to the trial balance, with books of original entry. Topics include original entries for petty cash, original entries for the payment of money, double entries for cash and credit transactions, and extracting a trial balance. The publication is a dependable reference for students and researchers interested in business statistics and accounting.
Learn or refresh core statistical methods for business with SAS® and approach real business analytics issues and techniques using a practical approach that avoids complex mathematics and instead employs easy-to-follow explanations. Business Statistics Made Easy in SAS® is designed as a user-friendly, practice-oriented, introductory text to teach businesspeople, students, and others core statistical concepts and applications. It begins with absolute core principles and takes you through an overview of statistics, data and data collection, an introduction to SAS®, and basic statistics (descriptive statistics and basic associational statistics). The book also provides an overview of statistical modeling, effect size, statistical significance and power testing, basics of linear regression, introduction to comparison of means, basics of chi-square tests for categories, extrapolating statistics to business outcomes, and some topical issues in statistics, such as big data, simulation, machine learning, and data warehousing. The book steers away from complex mathematical-based explanations, and it also avoids basing explanations on the traditional build-up of distributions, probability theory and the like, which tend to lose the practice-oriented reader. Instead, it teaches the core ideas of statistics through methods such as careful, intuitive written explanations, easy-to-follow diagrams, step-by-step technique implementation, and interesting metaphors. With no previous SAS experience necessary, Business Statistics Made Easy in SAS® is an ideal introduction for beginners. It is suitable for introductory undergraduate classes, postgraduate courses such as MBA refresher classes, and for the business practitioner. It is compatible with SAS® University Edition.
“Brilliant, funny . . . the best math teacher you never had.”—San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Understanding Business Statistics is a highly student-oriented business statistics product that makes statistics understandable for students with a wide variety of statistics backgrounds. The authors provide an intuitive discussion of basic statistical principles rather than a mathematically rigorous development. They use simple examples to introduce and develop concepts and procedures. For ease of reading, chapter sections are designed to ensure easy-to-follow continuity from one section to the next. This text provides students with frequent opportunities to check their understanding of topics as they move through the chapters, with exercises included at the end of most sections. In many cases, the exercises have been designed to extend chapter discussions rather than solely provide opportunities for drill and repetition. Understanding Business Statistics isÊwritten using a modular approach, allowing students to approach the subject step-by-step with very clear instructions.
"A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality, "--NoveList.
Highly praised for its exceptional clarity, technical accuracy, and useful examples, Weiers' INTRODUCTION TO BUSINESS STATISTICS, Seventh Edition, introduces fundamental statistical concepts with an engaging, conversational presentation and a strong emphasis on the practical relevance of course material to students' lives and careers. The text's outstanding illustrations, friendly language, non-technical terminology, and current examples involving real-world business and personal settings will capture students' interest and prepare them for success from day one. Continuing cases, contemporary business applications, and more than 300 new or revised exercises and problems reflect important trends and the latest developments in today's dynamic business environment -- all with an accuracy you and your students can trust. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more—all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant!
The primary objective of this text is to help students to think clearly and critically and apply the knowledge of Business Statistics in decision making when solving business problems. The book introduces the need for quantitative analysis in business and the basic procedures in problem solving. Following an application-based theory approach, the book focuses on data collection, data presentation, summarizing and describing data, basic probability, and statistical inference. A separate chapter is devoted to show how Microsoft Excel can be used to solve problems and to make statistical analyses. It contains specimen Excel Worksheets illustrating how the problems of each chapter are solved using Excel functions and formulas. A large number of real–world business problems from various business professions such as finance, medical, psychology, sociology, and education are also included. This textbook is primarily intended for the undergraduate and postgraduate students of management and postgraduate students of commerce. The text helps students to: • Understand the meaning and use of statistical terms used in business statistics • Use graphical and descriptive statistics to identify the need for statistical inference techniques • Perform statistical analyses • Interpret the results of statistical analyses • Apply statistical inference techniques in business situations • Use computer spreadsheet software to perform statistical analysis on data • Choose the appropriate statistical tool from the collection of standard analytic methods