Author: Erol Peköz Publisher: pekozbooks ISBN: 0979570425 Category : Business & Economics Languages : en Pages : 484
Book Description
Finally, an introduction to statistics for aspiring managers, leaders and decision makers who do not need to know all the details of statistical theory and just want real applications and commonsense explanations using words and diagrams -- without a jumble of Greek letters and mathematical formulas. The focus is on conceptual understanding, simplicity, and counterintuitive phenomena that can occur. This textbook is for an undergraduate or MBA introductory statistics course and covers summary statistics, probability, hypothesis testing, correlation, multiple regression, and includes an Excel add-in for histograms and stepwise regression. The author Erol Peköz teaches on the faculty of the Boston University School of Management and is the author of numerous technical articles and the recent book A Second Course in Probability.
Author: Erol Pekoz Publisher: Probabilitybookstore.com ISBN: 9780979570476 Category : Business & Economics Languages : en Pages : 468
Book Description
Finally, an introduction to statistics for aspiring managers, leaders and decision makers who do not need to know all the details of statistical theory and just want real applications and commonsense explanations using words and diagrams -- without a jumble of Greek letters and mathematical formulas. The focus is on conceptual understanding, simplicity, and counterintuitive phenomena that can occur. This textbook is for an undergraduate or MBA introductory statistics course and covers summary statistics, probability, hypothesis testing, correlation, multiple regression, and includes Excel software for histograms, correlations and stepwise regression. The author Erol Pekoz teaches on the faculty of the Boston University Questrom School of Business and is the author of numerous technical articles and the book A Second Course in Probability. Data sets and a free statistical software download are available at smgpublish.bu.edu/pekoz"
Author: David M. McEvoy Publisher: John Wiley & Sons ISBN: 1119138353 Category : Business & Economics Languages : en Pages : 212
Book Description
An accessible text that explains fundamental concepts in business statistics that are often obscured by formulae and mathematical notation A Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more streamlined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae. The author—an expert in the field—offers concise and straightforward explanations to the core principles and techniques in business statistics. The concepts are introduced through examples, and the text is designed to be accessible to readers with a variety of backgrounds. To enhance learning, most of the mathematical formulae and notation appears in technical appendices at the end of each chapter. This important resource: Offers a comprehensive guide to understanding business statistics targeting business and economics students and professionals Introduces the concepts and techniques through concise and intuitive examples Focuses on understanding by moving distracting formulae and mathematical notation to appendices Offers intuition, insights, humor, and practical advice for students of business statistics Features coverage of sampling techniques, descriptive statistics, probability, sampling distributions, confidence intervals, hypothesis tests, and regression Written for undergraduate business students, business and economics majors, teachers, and practitioners, A Guide to Business Statistics offers an accessible guide to the key concepts and fundamental principles in statistics.
Author: Erol Pekoz Publisher: Pekozbooks ISBN: 9780979570445 Category : Business & Economics Languages : en Pages : 484
Book Description
This business statistics textbook, used in the graduate core curriculum at Wharton, Harvard, and other business schools, is for an MBA or undergraduate introductory statistics course and covers data visualization, probability, hypothesis testing, correlation, multiple regression.
Author: David S. Moore Publisher: Palgrave Macmillan ISBN: 1429224266 Category : Mathematics Languages : en Pages : 975
Book Description
This is a clear and innovative overview of statistics which emphasises major ideas, essential skills and real-life data. The organisation and design has been improved for the fifth edition, coverage of engaging, real-world topics has been increased and content has been updated to appeal to today's trends and research.
Author: Harvard Business Review Publisher: Harvard Business Press ISBN: 1633694291 Category : Business & Economics Languages : en Pages : 169
Book Description
Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes
Author: Barbara Illowsky Publisher: ISBN: Category : Mathematics Languages : en Pages : 2106
Book Description
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Hadley Wickham Publisher: "O'Reilly Media, Inc." ISBN: 1491910364 Category : Computers Languages : en Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: Paul W. Farris Publisher: FT Press ISBN: 0134086120 Category : Business & Economics Languages : en Pages : 550
Book Description
Now updated with new techniques and even more practical insights, this is the definitive guide to today’s most valuable marketing metrics. Four leading marketing researchers help you choose the right metrics for every challenge, and use models and dashboards to translate numbers into real management insight. Marketing Metrics: The Manager’s Guide to Measuring Marketing Performance, Third Edition now contains: Important new coverage of intangible assets A rigorous and practical discussion of quantifying the value of information More detail on measuring brand equity A complete separate chapter on web, SEM, mobile, and "digital" metrics Practical linkages to Excel, showing how to use functions and Excel Solver to analyze marketing metrics An up-to-date survey of free metrics available from Google and elsewhere Expanded coverage of methodologies for quantifying marketing ROI The authors show how to use marketing dashboards to view market dynamics from multiple perspectives, maximize accuracy, and "triangulate" to optimal solutions. You’ll discover high-value metrics for virtually every facet of marketing: promotional strategy, advertising, and distribution; customer perceptions; market share; competitors’ power; margins and pricing; products and portfolios; customer profitability; sales forces, channels, and more. For every metric, the authors present real-world pros, cons, and tradeoffs — and help you understand what the numbers really mean. Last but not least, they show you how to build comprehensive models to support planning — and optimize every marketing decision you make. Marketing Metrics, Third Edition will be invaluable to all marketing executives, practitioners, analysts, consultants, and advanced students interested in quantifying marketing performance.
Author: Erol Peköz
Author: Erol Pekoz
Author: David M. McEvoy
Author: John Gallaugher
Author: Erol Pekoz
Author: David S. Moore
Author: Harvard Business Review
Author: Barbara Illowsky
Author: Hadley Wickham
Author: Paul W. Farris