Statistical Thinking Through Media Examples PDF Download

Author: Anthony Donoghue
Publisher: Cognella Academic Publishing
ISBN: 9781793564634
Category :
Languages : en
Pages :

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Book Description

Author: Anthony Donoghue
Publisher: Cognella Academic Publishing
ISBN: 9781793564115
Category :
Languages : en
Pages :

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Book Description

Author: Anthony Donoghue
Publisher:
ISBN: 9781516525607
Category : Statistics
Languages : en
Pages : 228

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Book Description
Uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding - the meaning behind mathematical calculations rather than the calculations themselves.

Author: Roger W. Hoerl
Publisher: John Wiley & Sons
ISBN: 1118236858
Category : Business & Economics
Languages : en
Pages : 544

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Book Description
How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.

Author: Iddo Gal
Publisher:
ISBN: 9784274901584
Category : Mathematics
Languages : en
Pages : 300

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Book Description
This book discusses conceptual and pragmatic issues in the assessment of statistical knowledge and reasoning skills among students at the college and precollege levels, and the use of assessments to improve instruction. It is designed primarily for academic audiences involved in teaching statistics and mathematics, and in teacher education and training. The book is divided in four sections: (I) Assessment goals and frameworks, (2) Assessing conceptual understanding of statistical ideas, (3) Innovative models for classroom assessments, and (4) Assessing understanding of probability.

Author: Stephen K. Campbell
Publisher: Courier Corporation
ISBN: 0486140512
Category : Mathematics
Languages : en
Pages : 210

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Book Description
Nontechnical survey helps improve ability to judge statistical evidence and to make better-informed decisions. Discusses common pitfalls: unrealistic estimates, improper comparisons, premature conclusions, and faulty thinking about probability. 1974 edition.

Author: Benjamin Yakir
Publisher:
ISBN: 9781502424662
Category :
Languages : en
Pages : 324

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Book Description
Introduction to Statistical ThinkingBy Benjamin Yakir

Author: Anthony Donoghue
Publisher: Cognella Academic Publishing
ISBN: 9781516525614
Category : Statistics
Languages : en
Pages : 212

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Book Description
Statistics and the Media: Foundations in Statistical Thinking through Media Examples uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding - the meaning behind mathematical calculations rather than the calculations themselves. Written in accessible language, Statistics and the Media begins by discussing the importance of learning how research is conducted and the way research results, on any topic, are presented by the media. This understanding creates an essential context for subsequent chapters on surveys and polling, variation in measurement data, understanding probability, hypothesis testing, linear regression, and more. Students also learn how statistics can be manipulated by researchers to provide a desired result. An ideal supplement to any primary statistics text, Statistics and the Media helps readers view statistics as a common-sense, observational, fact-based way of thinking about the world. The book can be used in any course that deals with introductory statistics, particularly those in the social sciences, business, finance, and economics.

Author: Frank E. Harrell
Publisher: Springer Science & Business Media
ISBN: 147573462X
Category : Mathematics
Languages : en
Pages : 583

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Book Description
Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Author: J. A. John
Publisher: CRC Press
ISBN: 1420057162
Category : Business & Economics
Languages : en
Pages : 408

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Book Description
Business students need the ability to think statistically about how to deal with uncertainty and its effect on decision-making in business and management. Traditional statistics courses and textbooks tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the needs of future managers. Statistical Thinking in