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quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual;
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quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual;
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Critical thinking: a concise guide is a much-needed guide to argument analysis and a clear introduction to thinking clearly and rationally;
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Working & Start Thinking, Second Edition aims to encourage young researchers to think more clearly about their experiments, from experimental;
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Presents readers with a clearly delineated system of thinking involving the Four-Step Effective Thinking Process, and teaches readers how;
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implementation. This book provides a practical introduction to data structures with an emphasis on abstract thinking and problem solving, as;
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Computational thinking is a timeless, transferable skill that enables you to think more clearly and logically, as well as a way to solve;
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entertaining, clearly written text for courses in logic, rhetoric, critical thinking, and English composition, Hard Thinking presents dialogues that;
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This book examines visual data use with students (PK-16) as well as in pre-service in- service science teacher preparation. Each chapter;
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This book examines visual data use with students (PK-16) as well as in pre-service in- service science teacher preparation. Each chapter;
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Thinking Linguistically is a unique and clearly written introduction to the nature of linguistic analysis and issues in language;
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Thinking Linguistically is a unique and clearly written introduction to the nature of linguistic analysis and issues in language;
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This book presents a fresh, new approach to systems analysis and modeling with a systems science flavor that stimulates systems thinking;
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For introductory courses in cartography. This comprehensive text blends broad coverage of basic methods for symbolizing spatial data with;
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, with an eye toward not just thinking clearly but also living faithfully. This is the book every college freshman needs to read. Don't leave;
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clearly and accessibly introducing all that's needed to know about using secondary data and working with IBM SPSS Statistics.;
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possibilities of thinking with a particular concept and theorist and detailed chapters that plug the same data set into a specific concept. This vital;
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possibilities of thinking with a particular concept and theorist and detailed chapters that plug the same data set into a specific concept. This vital;
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Critical Thinking: A Concise Guide is a much-needed guide to argument analysis and a clear introduction to thinking clearly and rationally;
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components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to;
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the text. The five steps are: State the problem clearly. Describe the input and the output. Work the problem by hand (or with a calculator;
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often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll;
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Establish a strong foundation in accounting fundamentals that will help you succeed in your career and business with Warren/Jones/Tayler's;
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perspective for looking at data structures and algorithms, clearly showing how to use polymorphism and inheritance, and including fragments from;
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Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical;
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Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical;
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