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In lieu of a conclusion, the book ends with a survey of the basic reference and research tools currently available to scholars and enthusiasts alike. This includes how to find more coin images online, how to find relevant numismatic publications, and what large research projects are currently underway in the field of Roman republican coinage.
While evolutionary psychology is a fascinating science, it is also often misunderstood. In this highly acclaimed undergraduate textbook, Workman and Reader assume no prior knowledge of evolution and instead carefully guide students towards a level of understanding where they can critically apply evolutionary theory to psychological explanation. The authors provide an engaging and balanced discussion of evolutionary psychology without committing to a specific school of thought, and organise chapters around topics familiar to psychology students. Retaining the successful structure and pedagogy of previous editions, the text has been updated to include the latest advances in the field, with new material added on homosexuality, a consideration of feminist criticism, grandparental investment, and developments in neuroscience and epigenetics. The fourth edition is now in full colour, with new figures and photographs, revised boxed case studies, additional discussion questions, and an updated online test bank.
This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
The Origins of Modern Science is the first synthetic account of the history of science from antiquity through the Scientific Revolution in many decades. Providing readers of all backgrounds and students of all disciplines with the tools to study science like a historian, Ofer Gal covers everything from Pythagorean mathematics to Newton's Principia, through Islamic medicine, medieval architecture, global commerce and magic. Richly illustrated throughout, scientific reasoning and practices are introduced in accessible and engaging ways with an emphasis on the complex relationships between institutions, beliefs and political structures and practices. Readers gain valuable new insights into the role that science plays both in history and in the world today, placing the crucial challenges to science and technology of our time within their historical and cultural context.