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Statistics Without the Catch: Methods of Critical Data Analysis and Causal Inference

39.99 €
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Statistics Without the Catch: Methods of Critical Data Analysis and Causal Inference
39.99 €
In basket
An introduction to data science or statistics should not begin with proving complex theorems or memorizing terms and formulas, but that is the way many quantitative analysis textbooks are structured. In contrast, this book is about critical thinking and conceptual understanding; it teaches readers to be thoughtful consumers and analyzers of the kinds of information and arguments they will encounter throughout their lives.
Among other things, the book teaches how to determine:
- whether observed relationships in data reflect genuine relationships in the world, and if so, whether they are causal;
- what questions to ask those who make arguments using quantitative data;
- what statistics are particularly informative or misleading;
- how quantitative data should and should not influence decision-making.
Filled with real-world examples, the book shows how the tools of critical analysis are applied to problems in a wide variety of fields, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel.
After reading this book, you will learn why, despite the extensive use of data in today's world, it can never replace critical thinking.
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