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48269977
Statistics Done Wrong: The Woefully Complete Guide
87% of respondents would recommend this to a friend
Nº de artículo:
48269977
HNL 831
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Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free.
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What Stands Out
Comprehensive Errors Guide
Covers the common misconceptions and errors in statistics, making complex concepts accessible for beginners, ensuring a deeper understanding of statistical practices and their proper applications.
Accessible Language
Written in a clear, engaging style that demystifies statistical terminology, making it an ideal choice for students, professionals, and anyone interested in improving their statistical literacy.
Real-World Examples
Utilizes practical case studies to illustrate statistical mistakes, reinforcing lessons learned and equipping readers to critically assess data interpretations in their professional and everyday lives.
Detalles de producto
- Comprehensive guide to common mistakes in statistical analysis
- Written by Alex Reinhart
- Identifies and explains statistical errors in detail
- Offers solutions and best practices for accurate statistical analysis
- Accessible to non-experts and beginners in statistics
- Includes real-life examples and case studies
| Publisher | No Starch Press |
| Publication date | March 1, 2015 |
| Edition | Illustrated |
| Language | English |
| Print length | 176 pages |
| ISBN-10 | 1593276206 |
| ISBN-13 | 978-1593276201 |
| Item Weight | 10.2 ounces (289.17 grams) |
| Dimensions | 5.98 x 0.47 x 9.02 inches (15.2 x 1.2 x 22.9 cm) |
Who Should Buy?
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Students in Statistics
Ideal for undergraduate or graduate students who seek to understand common statistical mistakes and improve their analysis skills.
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Researchers in Social Science
Beneficial for social scientists who want to avoid statistical misinterpretations in their research and enhance data validity.
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Professionals in Data
Useful for data analysts and professionals requiring a grasp of statistical principles to prevent misleading conclusions in reports.
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Statistical Experts
Highly experienced statisticians may find the content basic and lacking advanced statistical concepts or new methodologies.
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Statistics Done Wrong: The Woefully Complete Guide
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Probability & Statistics Editorial Review
**** "Statistics Done Wrong: The Woefully Complete Guide" presents a compelling yet critical examination of how statistics are often misapplied in research and claims. This book has received a mixture of accolades and cautions from readers, highlighting that it is not designed for statistical novices. Instead, it serves as a resourceful guide for those who already have a foundational understanding of statistics but wish to delve deeper into the common misconceptions surrounding p-values and study design. Readers appreciate the author’s ability to articulate complex ideas clearly, allowing researchers and practitioners to better navigate the murky waters of statistical interpretation. The emphasis on the misuse of p-values and the importance of understanding statistical power is particularly valuable. Those involved in research or data analysis, especially in fields such as quality management or social sciences, have found it insightful and essential. Many tout it as a game-changer for refining their statistical approach and enhancing their ability to scrutinize research rigorously. However, it’s important to note that readers unfamiliar with statistical concepts may struggle with this book. It is not an introductory text; therefore, those without prior knowledge may find it daunting and less educational than intended. Consequently, while it is well-written and engaging, it assumes a degree of statistical literacy that is crucial for fully grasping its content. In conclusion, "Statistics Done Wrong" is an important contribution to the field of statistical education, serving as both a critique and a guide. It encourages readers to question the integrity of statistical claims in research while providing actionable advice for improving their analytical practices. **
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ventajas
- Engaging and clear writing style
- Valuable insights into common statistical misconceptions, especially regarding p-values
- Useful for researchers and practitioners looking to enhance their understanding of study design
- Helps readers become more rigorous Consumers of statistical claims
- Actionable advice for improving research practices
Contras
- Not suitable for readers without a prior understanding of statistics
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características y beneficios
- A comprehensive and concise guide to statistical blunders.
- Learn about misconceptions and scientific politics that lead to errors.
- Advice on asking the right question, designing experiments and choosing statistical analysis.
- Includes guidance on selecting sample size and reporting analysis.
- Recommended for scientists and statisticians alike.
- Helps to ensure statistically sound research.
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