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This book reveals the hidden and potentially misleading nature of measurements, empowering readers to avoid making critical business decisions that are harmful, unreasonable, unwarranted, or plain wrong. Decision makers in business and government are more reliant than ever on measurements, such as business performance indicators, bond ratings, Six-Sigma indicators, stock ratings, opinion polls, and market research. Yet many popular statistical and business books and courses relating to measurement are based on flawed principles, leading managers to the wrong conclusions—and ultimately, the wrong decisions. misLeading Indicators: How to Reliably Measure Your Business provides something unique and invaluable: trustworthy tools for judging measurements. Each chapter illustrates the four key principles for reliable measurements: sufficient background information, accuracy and precision, reasonable inferences, and reality checks in different situations. After the three fundamental methods of measuring are defined, the authors expand to the application and interpretation of measurements in specific areas, including business performance, risk management, process, control, finance, and economics. This book supplies essential information for managers in business and government who depend on accurate information to run their organizations, as well as the consultants who advise them.
The Thinker’s Guide to Analytic Thinking explores the practice of analyzing problems and opportunities and provides a framework for finding common denominators, inconsistencies, biases, and underlying causes. It helps readers learn to think within the logic of subjects and professions. By offering proper tools for analysis and assessment of thought, it empowers readers to address any decision with confidence. As part of the Thinker’s Guide Library, this book advances the mission of the Foundation for Critical Thinking to promote fairminded critical societies through cultivating essential intellectual abilities and virtues across every field of study across world.
Critical Thinking, 2nd Edition is about becoming a better thinker in every aspect of your life—as a professional, as a consumer, citizen, friend, or parent. Richard Paul and Linda Elder identify the core skills of effective thinking, then help you analyze your own thought processes so you can systematically identify and overcome your weaknesses.
First published in 1985, Practical Inferences describes how practical inferences are used. Starting with relatively simple inference patterns exhibited in everyday prudential decisions, the author extends a basic structural framework to the more complex inferences used in assessing probabilities, and finally to moral inferences. In this way what have been regarded as disparate activities are shown to exhibit fundamental similarities. The author argues that at all levels of decision-making the practical inferences used contain at least one premise expressing the desires or preferences of the agent. This is in opposition to the dominant view in Western philosophy that desires must be regulated or evaluated by means of principles of conduct discovered by rational procedures. By examining the premises implied by holders of this view, the author shows that they are inadequate bases for justifying practical decisions. This book will be of interest to students of philosophy, logic and mathematics.
Includes the decisions of the Supreme Courts of Alabama, Florida, Louisiana, and Mississippi, the Appellate Courts of Alabama and, Sept. 1928/Jan. 1929-Jan./Mar. 1941, the Courts of Appeal of Louisiana.
Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.