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Introduction to Statistical Investigations, Preliminary Edition Upplaga 1
Spiral approach to statistical process. A six-step process for conducting statistical investigations introduces students to the fundamental concept of statistical significance, along with collecting data and drawing conclusions, early in the course. Active learning approach. Students complete Explorations in each chapter, using a variety of learning experiences such as shuffling cards and flipping coins, collecting data, running experiments and using simulations. Explorations are flexible enough to be used by individual students or small or large groups, in or outside class. Randomization-based introduction to statistical inference. Makes use of modern computing and puts the logic of statistical inference at the center of the curriculum. Easy-to-use technology integrated throughout. To effective implement therandomization-based approach, the authors have designed easy-to-use web applets that enable students to conduct all of the simulations and perform all of the analyses presented in this book. (Instructors may still use statistical software packages if desired.) Real data from genuine studies. Uses real data from genuine research studies throughout the book, taken from a variety of fields of application. Critical reading. Each chapter also challenges students to develop their critical reading skills, by including a research article for students to read followed by a series of questions about the article. Focus on logic and scope of inference. Students are asked to consider questions of logic and scope of inference for every study they encounter in the text.
Upplaga: 1a upplagan
Utgiven: 2014
ISBN: 9781118956670
Förlag: John Wiley & Sons
Format: Häftad
Språk: Engelska
Sidor: 1368 st
Spiral approach to statistical process. A six-step process for conducting statistical investigations introduces students to the fundamental concept of statistical significance, along with collecting data and drawing conclusions, early in the course. Active learning approach. Students complete Explorations in each chapter, using a variety of learning experiences such as shuffling cards and flipping coins, collecting data, running experiments and using simulations. Explorations are flexible enough to be used by individual students or small or large groups, in or outside class. Randomization-based introduction to statistical inference. Makes use of modern computing and puts the logic of statistical inference at the center of the curriculum. Easy-to-use technology integrated throughout. To effective implement therandomization-based approach, the authors have designed easy-to-use web applets that enable students to conduct all of the simulations and perform all of the analyses presented in this book. (Instructors may still use statistical software packages if desired.) Real data from genuine studies. Uses real data from genuine research studies throughout the book, taken from a variety of fields of application. Critical reading. Each chapter also challenges students to develop their critical reading skills, by including a research article for students to read followed by a series of questions about the article. Focus on logic and scope of inference. Students are asked to consider questions of logic and scope of inference for every study they encounter in the text.
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