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Introduction to the Practice of Statistics is the classic textbook for teaching statistics. This textbook shows students how to produce and interpret data from real-world contexts, guiding them through the type of data gathering and analysis that working statisticians do every day. With this phenomenally successful approach developed by David Moore and George McCabe, statistics is more than just a collection of techniques and formulas. Instead, students develop a way of thinking about data with a focus on problem-solving that helps them understand concepts and master statistical reasoning. Part of the best-selling Moore family of statistics books, Introduction to the Practice of Statistics is designed for a two-semester 'introduction to statistics' course and offers a rigorous introduction to the subject. This textbook is available on LaunchPad, which combines an interactive ebook with multimedia content and assessment tools, including LearningCurve adaptive quizzing. See 'Instructor Resources' and 'Student Resources' for further information.
This book offers historical and state-of-the-art molecular spectroscopy methods and applications in dynamic compression science, aimed at the upcoming generation in physical sciences involved in studies of materials at extremes. It begins with addressing the motivation for probing shock compressed molecular materials with spectroscopy and then reviews historical developments and the basics of the various spectroscopic methods that have been utilized. Introductory chapters are devoted to fundamentals of molecular spectroscopy, overviews of dynamic compression technologies, and diagnostics used to quantify the shock compression state during spectroscopy experiments. Subsequent chapters describe all the molecular spectroscopic methods used in shock compression research to date, including theory, experimental details for application to shocked materials, and difficulties that can be encountered. Each of these chapters also includes a section comparing static compression results. The last chapter offers an outlook for the future, which leads the next-generation readers to tackling persistent problems.
Martian Red Blood - and - Lunar LabyrinthBy: David S. MooreMartian Red BloodJason Furbach of the Boston Police Department is asked to investigate an auto accident resulting in the death of the CEO of an interplanetary shipping company. But his investigation soon leads to the first manned base on Mars where a murder has taken place-- and the two deaths appear to be related.Lunar LabyrinthAn astronaut dies on Moon Base One and FBI detective Jason Furbach is sent to the Moon to investigate. But he soon learns that his wife and children back on Earth will be killed unless he lies about what he has discovered.About the AuthorDavid S. Moore graduated from the University of Washington, B.S. 1971. He taught math and programming at the high school level for several years before leaving teaching to work in computer programming. He retired in 2020 after more than 30 years in the software industry and is now concentrating on writing. Moore has been married since 1993 and has two adult children.https: //david-seldon-moore.blog/
A masterful guide to human development that redefines the nature versus nurture debateA much-needed antidote to genetic determinism, The Dependent Gene reveals how all traits-even characteristics like eye and hair color-are caused by complex interactions between genes and the environment at every stage of biological and psychological development, from the single fertilized egg to full-grown adulthood. How we understand the nature versus nurture debate directly affects our thoughts about such basic issues as sex and reproduction, parenting, education, and crime, and has an enormous impact on social policy. With life-and-death questions in the balance surrounding stem-cell research, cloning, and DNA fingerprinting, we can no longer afford to be ignorant of human development. An enlightening guide to this brave new world, The Dependent Gene empowers us to take control of our own destiny.
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