Defense of Scientific Hypothesis: From Reproducibility Crisis to Big Data argues that the scientific hypothesis is the key to understanding what science is about, and explains its importance for scientists and non-scientists alike. Most scientists, like the general public, receive only cursory formal instruction about the scientific hypothesis. Since we all constantly assess what's going on around us, we continually formulate and test hypotheses, consciouslyand unconsciously. The book distinguishes scientific from statistical hypotheses, analyzes the benefits of hypotheses and hypothesis…mehr
Defense of Scientific Hypothesis: From Reproducibility Crisis to Big Data argues that the scientific hypothesis is the key to understanding what science is about, and explains its importance for scientists and non-scientists alike. Most scientists, like the general public, receive only cursory formal instruction about the scientific hypothesis. Since we all constantly assess what's going on around us, we continually formulate and test hypotheses, consciouslyand unconsciously. The book distinguishes scientific from statistical hypotheses, analyzes the benefits of hypotheses and hypothesis testing, sorts out sciences that do not require hypotheses, discusses educational and social policies relating to the hypothesis, and offers advice on recognizing andformulating hypotheses.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Bradley E. Alger (AB, UC Berkeley; PhD, Harvard), conducted some of the initial in vitro studies on synaptic plasticity in the brain for his thesis. In 1981, after serving as Roger Nicoll's first postdoctoral fellow at UC San Francisco, Alger was appointed Assistant Professor of Physiology at U Maryland School of Medicine. He did research and taught until becoming Professor Emeritus in 2014. Alger's laboratory published over 100 research articles and made fundamental discoveries regarding "the brain's own marijuana." While lecturing on scientific reasoning, he saw the need for a book like this one.
Inhaltsangabe
* Acknowledgements * Introduction * Chapter 1: Philosophical Background Matters * Chapter 2: The Scientific Hypothesis Today * Chapter 3: Critical Rationalism - Common Questions Asked and Answered * Chapter 4: Kinds of Science * Chapter 5: Statistics and Statistical Hypotheses * Chapter 6: Bayesian Basics and the Scientific Hypothesis * Chapter 7: The Reproducibility Crisis * Chapter 8: Advantages of the Hypothesis * Chapter 9: What Scientists Think About Scientific Thinking * Chapter 10: Opponents of the Hypothesis: Stuart Firestein, David J. Glass, and David Deutsch * Chapter 11: Automatic Thinking: Hypotheses, Biases, and Inductive Reasoning * Chapter 12: Thinking Rationally About Heuristics and Biases * Chapter 13: The Hypothesis in Science Education * Chapter 14: How to Improve Your Own Scientific Thinking * Chapter 15: The Future of the Hypothesis: The Big Data Mindset Versus the Robot Scientist * Epilogue
* Acknowledgements * Introduction * Chapter 1: Philosophical Background Matters * Chapter 2: The Scientific Hypothesis Today * Chapter 3: Critical Rationalism - Common Questions Asked and Answered * Chapter 4: Kinds of Science * Chapter 5: Statistics and Statistical Hypotheses * Chapter 6: Bayesian Basics and the Scientific Hypothesis * Chapter 7: The Reproducibility Crisis * Chapter 8: Advantages of the Hypothesis * Chapter 9: What Scientists Think About Scientific Thinking * Chapter 10: Opponents of the Hypothesis: Stuart Firestein, David J. Glass, and David Deutsch * Chapter 11: Automatic Thinking: Hypotheses, Biases, and Inductive Reasoning * Chapter 12: Thinking Rationally About Heuristics and Biases * Chapter 13: The Hypothesis in Science Education * Chapter 14: How to Improve Your Own Scientific Thinking * Chapter 15: The Future of the Hypothesis: The Big Data Mindset Versus the Robot Scientist * Epilogue
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