A Certain Uncertainty
Nature's Random Ways
Nonfiction, Science & Nature, Science, Physics, Mathematical Physics, Mathematics
| Author: | Mark P. Silverman | ISBN: | 9781139985482 |
| Publisher: | Cambridge University Press | Publication: | July 10, 2014 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | Mark P. Silverman |
| ISBN: | 9781139985482 |
| Publisher: | Cambridge University Press |
| Publication: | July 10, 2014 |
| Imprint: | Cambridge University Press |
| Language: | English |
Based around a series of real-life scenarios, this engaging introduction to statistical reasoning will teach you how to apply powerful statistical, qualitative and probabilistic tools in a technical context. From analysis of electricity bills, baseball statistics, and stock market fluctuations, through to profound questions about physics of fermions and bosons, decaying nuclei, and climate change, each chapter introduces relevant physical, statistical and mathematical principles step-by-step in an engaging narrative style, helping to develop practical proficiency in the use of probability and statistical reasoning. With numerous illustrations making it easy to focus on the most important information, this insightful book is perfect for students and researchers of any discipline interested in the interwoven tapestry of probability, statistics, and physics.
Based around a series of real-life scenarios, this engaging introduction to statistical reasoning will teach you how to apply powerful statistical, qualitative and probabilistic tools in a technical context. From analysis of electricity bills, baseball statistics, and stock market fluctuations, through to profound questions about physics of fermions and bosons, decaying nuclei, and climate change, each chapter introduces relevant physical, statistical and mathematical principles step-by-step in an engaging narrative style, helping to develop practical proficiency in the use of probability and statistical reasoning. With numerous illustrations making it easy to focus on the most important information, this insightful book is perfect for students and researchers of any discipline interested in the interwoven tapestry of probability, statistics, and physics.
