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Añadir al carritoPaperback. Condición: new. Paperback. This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis (the new statistics), is exactly whats needed for Open Science.Key features of this new edition include:Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine.Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to whats required for more advanced courses, and also by researchers. See Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See /.Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two.Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retentionDesigned for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed. This fully updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach with meta-analysis from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoPaperback. Condición: new. Paperback. This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis (the new statistics), is exactly whats needed for Open Science.Key features of this new edition include:Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine.Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to whats required for more advanced courses, and also by researchers. See Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See /.Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two.Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retentionDesigned for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed. This fully updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach with meta-analysis from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoPaperback. Condición: new. Paperback. This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis (the new statistics), is exactly whats needed for Open Science.Key features of this new edition include:Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine.Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to whats required for more advanced courses, and also by researchers. See Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See /.Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two.Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retentionDesigned for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed. This fully updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach with meta-analysis from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Añadir al carritoCondición: New. Geoff Cumming is a professor emeritus of La Trobe University, Melbourne, Australia, and has been teaching statistics for over 50 years.Robert Calin-Jageman is a professor of psychology and the neuroscience program director at Dominic.
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Publicado por Taylor & Francis Ltd Mär 2024, 2024
ISBN 10: 036753150X ISBN 13: 9780367531508
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis ('the new statistics'), is exactly what's needed for Open Science.
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Añadir al carritoTaschenbuch. Condición: Neu. Introduction to the New Statistics | Estimation, Open Science, and Beyond | Geoff Cumming (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Taylor & Francis Ltd | EAN 9780367531508 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.