Author: Anthony Donoghue
Publisher: Cognella Academic Publishing
ISBN: 9781793564634
Category :
Languages : en
Pages :
Book Description
Statistical Thinking Through Media Examples
Author: Anthony Donoghue
Publisher: Cognella Academic Publishing
ISBN: 9781793564634
Category :
Languages : en
Pages :
Book Description
Publisher: Cognella Academic Publishing
ISBN: 9781793564634
Category :
Languages : en
Pages :
Book Description
Statistical Thinking Through Media Examples
Author: Anthony Donoghue
Publisher:
ISBN: 9781793541963
Category : Mathematics
Languages : en
Pages : 346
Book Description
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. The book presents a rigorous introduction to statistical thinking, the necessary foundation for both the discipline of statistics and data science. Written in accessible language, the book begins by discussing the importance of learning how to assess the quality of research results presented by the media. This understanding creates an essential context for the following chapters on questioning study design, including polls and surveys. The remaining chapters explain the foundational concepts-probability, reasoning with variation in data, confidence intervals, hypothesis testing, and linear regression-through media examples. Students also learn how hypothesis testing can be misused and manipulated by researchers to provide a desired result. The third edition features contemporary media examples and related research findings on a variety of issues, including hydroxychloroquine and COVID-19, the effectiveness of mask recommendations, vaccine hesitancy and COVID-19, the inaccuracies of poll projections in swing states during the 2020 election, obesity and COVID-19, racial inequality, and climate change. Statistical Thinking through Media Examples is an ideal resource for any course that deals with introductory statistics, particularly those in the health and social sciences, journalism, and business.
Publisher:
ISBN: 9781793541963
Category : Mathematics
Languages : en
Pages : 346
Book Description
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. The book presents a rigorous introduction to statistical thinking, the necessary foundation for both the discipline of statistics and data science. Written in accessible language, the book begins by discussing the importance of learning how to assess the quality of research results presented by the media. This understanding creates an essential context for the following chapters on questioning study design, including polls and surveys. The remaining chapters explain the foundational concepts-probability, reasoning with variation in data, confidence intervals, hypothesis testing, and linear regression-through media examples. Students also learn how hypothesis testing can be misused and manipulated by researchers to provide a desired result. The third edition features contemporary media examples and related research findings on a variety of issues, including hydroxychloroquine and COVID-19, the effectiveness of mask recommendations, vaccine hesitancy and COVID-19, the inaccuracies of poll projections in swing states during the 2020 election, obesity and COVID-19, racial inequality, and climate change. Statistical Thinking through Media Examples is an ideal resource for any course that deals with introductory statistics, particularly those in the health and social sciences, journalism, and business.
Statistical Thinking
Author: Roger W. Hoerl
Publisher: John Wiley & Sons
ISBN: 1118236858
Category : Business & Economics
Languages : en
Pages : 544
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.
Publisher: John Wiley & Sons
ISBN: 1118236858
Category : Business & Economics
Languages : en
Pages : 544
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.
Statistics and the Media
Author: Anthony Donoghue
Publisher:
ISBN: 9781516525607
Category : Statistics
Languages : en
Pages : 228
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.
Publisher:
ISBN: 9781516525607
Category : Statistics
Languages : en
Pages : 228
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.
The Assessment Challenge in Statistics Education
Author: Iddo Gal
Publisher:
ISBN: 9784274901584
Category : Mathematics
Languages : en
Pages : 300
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.
Publisher:
ISBN: 9784274901584
Category : Mathematics
Languages : en
Pages : 300
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.
Flaws and Fallacies in Statistical Thinking
Author: Stephen K. Campbell
Publisher: Courier Corporation
ISBN: 0486140512
Category : Mathematics
Languages : en
Pages : 210
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.
Publisher: Courier Corporation
ISBN: 0486140512
Category : Mathematics
Languages : en
Pages : 210
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.
Introduction to Statistical Thinking
Author: Benjamin Yakir
Publisher:
ISBN: 9781502424662
Category :
Languages : en
Pages : 324
Book Description
Introduction to Statistical ThinkingBy Benjamin Yakir
Publisher:
ISBN: 9781502424662
Category :
Languages : en
Pages : 324
Book Description
Introduction to Statistical ThinkingBy Benjamin Yakir
Statistical Thinking in Sports
Author: Jim Albert
Publisher: CRC Press
ISBN: 1584888695
Category : Mathematics
Languages : en
Pages : 312
Book Description
Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and bes
Publisher: CRC Press
ISBN: 1584888695
Category : Mathematics
Languages : en
Pages : 312
Book Description
Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and bes
Statistical Thinking in Clinical Trials
Author: Michael A. Proschan
Publisher: CRC Press
ISBN: 1351673106
Category : Mathematics
Languages : en
Pages : 393
Book Description
Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned, mid-course design change. Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The `EZ’ principle says that a single sample size formula can be applied to a multitude of statistical tests. The `O minus E except after V’ principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.
Publisher: CRC Press
ISBN: 1351673106
Category : Mathematics
Languages : en
Pages : 393
Book Description
Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned, mid-course design change. Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The `EZ’ principle says that a single sample size formula can be applied to a multitude of statistical tests. The `O minus E except after V’ principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.
Statistical Thinking for Non-Statisticians in Drug Regulation
Author: Richard Kay
Publisher: John Wiley & Sons
ISBN: 1118702352
Category : Medical
Languages : en
Pages : 277
Book Description
Written by a well-known lecturer and consultant to the pharmaceutical industry, this book focuses on the pharmaceutical non-statistician working within a very strict regulatory environment. Statistical Thinking for Clinical Trials in Drug Regulation presents the concepts and statistical thinking behind medical studies with a direct connection to the regulatory environment so that readers can be clear where the statistical methodology fits in with industry requirements. Pharmaceutical-related examples are used throughout to set the information in context. As a result, this book provides a detailed overview of the statistical aspects of the design, conduct, analysis and presentation of data from clinical trials within drug regulation. Statistical Thinking for Clinical Trials in Drug Regulation: Assists pharmaceutical personnel in communicating effectively with statisticians using statistical language Improves the ability to read and understand statistical methodology in papers and reports and to critically appraise that methodology Helps to understand the statistical aspects of the regulatory framework better quoting extensively from regulatory guidelines issued by the EMEA (European Medicines Evaluation Agency), ICH (International Committee on Harmonization and the FDA (Food and Drug Administration)
Publisher: John Wiley & Sons
ISBN: 1118702352
Category : Medical
Languages : en
Pages : 277
Book Description
Written by a well-known lecturer and consultant to the pharmaceutical industry, this book focuses on the pharmaceutical non-statistician working within a very strict regulatory environment. Statistical Thinking for Clinical Trials in Drug Regulation presents the concepts and statistical thinking behind medical studies with a direct connection to the regulatory environment so that readers can be clear where the statistical methodology fits in with industry requirements. Pharmaceutical-related examples are used throughout to set the information in context. As a result, this book provides a detailed overview of the statistical aspects of the design, conduct, analysis and presentation of data from clinical trials within drug regulation. Statistical Thinking for Clinical Trials in Drug Regulation: Assists pharmaceutical personnel in communicating effectively with statisticians using statistical language Improves the ability to read and understand statistical methodology in papers and reports and to critically appraise that methodology Helps to understand the statistical aspects of the regulatory framework better quoting extensively from regulatory guidelines issued by the EMEA (European Medicines Evaluation Agency), ICH (International Committee on Harmonization and the FDA (Food and Drug Administration)