A Field Guide to Lies (2016) is a survival manual for our information-saturated world. With lessons on how to spot misleading statistics, arguments, and reports, its guidance is organized into two key areas: statistical information and faulty arguments. You’ll learn to recognize when numbers are being manipulated, and to avoid falling for logical fallacies in an age where misinformation spreads rapidly.
Die besten 15 Bücher zu Business Statistics
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A Field Guide to Lies
Daniel J. Levitin
Critical Thinking with Statistics and the Scientific Method
4.3 (81 Bewertungen)
Einleitung anhören01:32Worum geht's in A Field Guide to Lies?
Wer A Field Guide to Lies lesen sollte
- Anyone who scrolls through social media and questions what’s actually true
- People tired of falling for misleading statistics in news stories
- Professionals who need to make data-driven decisions with confidence
Worum geht's in An Introduction to Data Science?
An Introduction to Data Science by Jeffrey S. Saltz provides a comprehensive overview of the key concepts and techniques in the field of data science. It covers topics such as data manipulation, visualization, machine learning, and big data. The book is suitable for beginners and serves as a great starting point for anyone interested in learning about data science.
Wer An Introduction to Data Science lesen sollte
Anyone looking to gain a foundational understanding of data science
Students or professionals seeking to enter the field of data analysis or data science
Individuals who want to learn how to use data to make informed decisions and solve real-world problems
Worum geht's in Applied Econometric Time Series?
Applied Econometric Time Series by Walter Enders is a comprehensive guide to analyzing time series data in economics and finance. It covers key topics such as stationary and non-stationary time series, unit root tests, cointegration, vector autoregressive models, and forecasting. With clear explanations and practical examples, this book is essential for anyone interested in understanding and applying econometric techniques to real-world data.
Wer Applied Econometric Time Series lesen sollte
Graduate students and researchers in economics, finance, and related fields
Professionals who work with time series data and want to improve their forecasting and modeling skills
Anyone interested in understanding the complexities of economic and financial time series analysis
Worum geht's in Applied Statistics In Business and Economics?
Applied Statistics In Business and Economics by David P. Doane offers a practical approach to understanding and applying statistical methods in the business world. Through real-world examples and case studies, the book demonstrates how statistical analysis can be used to make informed business decisions. It covers topics such as data collection, descriptive statistics, probability, hypothesis testing, and regression analysis, making it an essential resource for students and professionals in the fields of business and economics.
Wer Applied Statistics In Business and Economics lesen sollte
Students pursuing degrees in business, economics, or related fields
Professionals looking to enhance their statistical skills for decision-making
Anyone interested in understanding and applying statistical concepts in a business context
Worum geht's in Applied Statistics for Engineers and Scientists?
Applied Statistics for Engineers and Scientists by Jay L. Devore provides a practical approach to understanding and applying statistical methods in engineering and scientific research. Through clear explanations and real-world examples, this book equips readers with the essential tools and techniques to analyze data and make informed decisions in their respective fields.
Wer Applied Statistics for Engineers and Scientists lesen sollte
Engineering and science students seeking a practical understanding of statistical methods
Professionals looking to apply statistical techniques to their work in research, design, and analysis
Individuals who want to enhance their problem-solving skills and make data-driven decisions
Worum geht's in Contemporary Strategy Analysis?
Contemporary Strategy Analysis by Robert M. Grant provides a comprehensive and practical approach to understanding strategy in today's business environment. It offers a blend of theory and real-world examples to help readers analyze and develop effective strategies for organizations. Whether you're a student or a business professional, this book will enhance your strategic thinking and decision-making skills.
Wer Contemporary Strategy Analysis lesen sollte
Graduate students studying business administration or strategy
Professionals seeking to enhance their strategic thinking and decision-making skills
Entrepreneurs and business owners looking to develop and execute effective business strategies
Worum geht's in Managerial Decision Modeling with Spreadsheets?
Managerial Decision Modeling with Spreadsheets by Nagraj Balakrishnan provides a comprehensive introduction to the use of spreadsheets in managerial decision making. It covers various quantitative models and techniques, such as linear programming, decision analysis, and simulation, and demonstrates how to implement them using Microsoft Excel. This book is a valuable resource for business students and professionals looking to enhance their decision-making skills.
Wer Managerial Decision Modeling with Spreadsheets lesen sollte
Managers and decision-makers who want to use quantitative methods to improve their decision-making process
Students studying business, management, or operations research
Professionals who want to enhance their analytical skills and learn how to apply them in real-world scenarios
Worum geht's in PreMBA Analytical Primer?
PreMBA Analytical Primer by Regina Trevino provides a comprehensive introduction to the analytical tools and techniques that are essential for success in a Master of Business Administration (MBA) program. From basic mathematics and statistics to financial analysis and decision-making models, this book equips aspiring MBA students with the foundational knowledge they need to excel in their studies and future careers.
Wer PreMBA Analytical Primer lesen sollte
Aspiring MBA students who want to refresh their quantitative skills before starting their program
Professionals looking to enhance their analytical abilities for career advancement
Anyone interested in understanding fundamental quantitative concepts in a business context
Worum geht's in Probability And Statistics For Engineering And The Sciences?
Probability And Statistics For Engineering And The Sciences by Jay L. Devore provides a comprehensive introduction to the fundamental concepts of probability and statistics. It covers topics such as descriptive statistics, probability, random variables, sampling distributions, hypothesis testing, and regression analysis. This book is an essential resource for students and professionals in engineering and the sciences who want to understand and apply statistical methods in their work.
Wer Probability And Statistics For Engineering And The Sciences lesen sollte
Engineers and scientists who need to understand and apply statistical methods in their work
Students studying engineering, physics, or other technical fields that require a strong foundation in probability and statistics
Professionals looking to enhance their data analysis and decision-making skills
Worum geht's in Say It with Charts?
Say It with Charts by Gene Zelazny is a comprehensive guide to creating powerful and effective visual presentations. Packed with practical tips and techniques, this book offers step-by-step instructions for designing charts and graphs that communicate your message clearly and persuasively. Whether you're a business professional, educator, or student, this book will help you master the art of visual storytelling.
Wer Say It with Charts lesen sollte
Professionals who need to create impactful and persuasive presentations
Business leaders who want to effectively communicate data and insights
Students and educators looking to improve their visual communication skills
Worum geht's in Statistics for Managers Using Microsoft Excel?
Statistics for Managers Using Microsoft Excel by David M. Levine provides a comprehensive guide to understanding and applying statistical concepts in the business world. With a focus on practical applications and using Microsoft Excel as a tool, this book equips managers with the knowledge and skills necessary to make informed decisions based on data analysis.
Wer Statistics for Managers Using Microsoft Excel lesen sollte
Managers and business professionals who want to make informed decisions based on data
Students studying business or management who need to understand statistical concepts
Individuals looking to improve their Excel skills and apply them to statistical analysis
Worum geht's in Statistics, Data Analysis, and Decision Modeling?
Statistics, Data Analysis, and Decision Modeling by James R. Evans provides a comprehensive guide to understanding and applying statistical methods in business decision-making. With a focus on practical applications and real-world examples, this book equips readers with the tools and knowledge needed to analyze data effectively and make informed decisions. Whether you are a student or a professional, this book is a valuable resource for mastering statistical concepts and techniques.
Wer Statistics, Data Analysis, and Decision Modeling lesen sollte
Students or professionals seeking a comprehensive understanding of statistical methods
Individuals looking to apply data analysis techniques to real-world decision making
Readers interested in practical examples and case studies to enhance their analytical skills
Worum geht's in The Definitive Guide to Dax?
The Definitive Guide to DAX by Alberto Ferrari is a comprehensive resource for anyone looking to master Data Analysis Expressions (DAX) in Power BI, Excel, or SQL Server Analysis Services. It provides a deep dive into DAX functions, concepts, and best practices, offering practical examples and real-world scenarios to help you unleash the full potential of your data modeling and analysis.
Wer The Definitive Guide to Dax lesen sollte
Business intelligence professionals who want to master DAX for data analysis and modeling
Data analysts and data scientists who work with Microsoft Power BI or Excel
Database administrators and developers who need to create efficient and powerful DAX formulas
Worum geht's in The Economist Numbers Guide?
The Economist Numbers Guide is a comprehensive book that demystifies the world of numbers and statistics. Written by experts at The Economist, it provides clear explanations and practical examples to help readers understand and interpret numerical data in various contexts. Whether you're a student, professional, or simply curious about the numbers that shape our world, this book equips you with the knowledge and skills to make sense of statistical information.
Wer The Economist Numbers Guide lesen sollte
Professionals who need to interpret and analyze financial data
Students studying economics, business, or finance
Entrepreneurs and business owners looking to make informed decisions based on numbers
Worum geht's in The Essential Deming?
The Essential Deming is a comprehensive guide to the teachings and philosophy of W. Edwards Deming, a pioneer in the field of quality management. Through a collection of his most influential writings and lectures, the book explores Deming's principles and methods for transforming business practices and achieving continuous improvement. It offers valuable insights for leaders and managers seeking to enhance organizational effectiveness and drive sustainable success.
Wer The Essential Deming lesen sollte
Professionals in management and leadership roles seeking to improve organizational performance
Individuals interested in understanding the principles of quality management and continuous improvement
Business owners and entrepreneurs looking to implement Deming's philosophy in their organizations
Ähnliche Themen
Häufig gestellte Fragen zu Business Statistics
Was ist das beste Buch zum Thema Business Statistics?
Was sind die Top 10 Bücher zum Thema Business Statistics?
- A Field Guide to Lies von Daniel J. Levitin
- An Introduction to Data Science von Jeffrey S. Saltz
- Applied Econometric Time Series von Walter Enders
- Applied Statistics In Business and Economics von David P. Doane
- Applied Statistics for Engineers and Scientists von Jay L. Devore
- Contemporary Strategy Analysis von Robert M. Grant
- Managerial Decision Modeling with Spreadsheets von Nagraj Balakrishnan
- PreMBA Analytical Primer von Regina Trevino
- Probability And Statistics For Engineering And The Sciences von Jay L. Devore
- Say It with Charts von Gene Zelazny
Wer sind die wichtigsten Autor:innen zum Thema Business Statistics?
- Daniel J. Levitin
- Jeffrey S. Saltz
- Walter Enders
- David P. Doane
- Jay L. Devore













