Active statistics: stories, games, problems, and hands-on demonstrations for applied regression and causal inference
This book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that...
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge, United Kingdom ; New York, NY
Cambridge University Press
2024
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| Links: | https://doi.org/10.1017/9781009436243 |
| Zusammenfassung: | This book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that allow instructors and students to explore in a fun way the real-world complexity of the subject. The book fosters an engaging 'flipped classroom' environment with a focus on visualization and understanding. The book provides instructors with frameworks for self-study or for structuring the course, along with tips for maintaining student engagement at all levels, and practice exam questions to help guide learning. Designed to accompany the authors' previous textbook Regression and Other Stories, its modular nature and wealth of material allow this book to be adapted to different courses and texts or be used by learners as a hands-on workbook. |
| Umfang: | 1 Online-Ressource (viii, 361 Seiten) |
| ISBN: | 9781009436243 |
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| spelling | Gelman, Andrew Active statistics stories, games, problems, and hands-on demonstrations for applied regression and causal inference Andrew Gelman, Columbia University, New York, Aki Vehtari, Aalto University, Finland Cambridge, United Kingdom ; New York, NY Cambridge University Press 2024 1 Online-Ressource (viii, 361 Seiten) txt c cr This book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that allow instructors and students to explore in a fun way the real-world complexity of the subject. The book fosters an engaging 'flipped classroom' environment with a focus on visualization and understanding. The book provides instructors with frameworks for self-study or for structuring the course, along with tips for maintaining student engagement at all levels, and practice exam questions to help guide learning. Designed to accompany the authors' previous textbook Regression and Other Stories, its modular nature and wealth of material allow this book to be adapted to different courses and texts or be used by learners as a hands-on workbook. Vehtari, Aki Erscheint auch als Druck-Ausgabe 9781009436212 |
| spellingShingle | Gelman, Andrew Active statistics stories, games, problems, and hands-on demonstrations for applied regression and causal inference |
| title | Active statistics stories, games, problems, and hands-on demonstrations for applied regression and causal inference |
| title_auth | Active statistics stories, games, problems, and hands-on demonstrations for applied regression and causal inference |
| title_exact_search | Active statistics stories, games, problems, and hands-on demonstrations for applied regression and causal inference |
| title_full | Active statistics stories, games, problems, and hands-on demonstrations for applied regression and causal inference Andrew Gelman, Columbia University, New York, Aki Vehtari, Aalto University, Finland |
| title_fullStr | Active statistics stories, games, problems, and hands-on demonstrations for applied regression and causal inference Andrew Gelman, Columbia University, New York, Aki Vehtari, Aalto University, Finland |
| title_full_unstemmed | Active statistics stories, games, problems, and hands-on demonstrations for applied regression and causal inference Andrew Gelman, Columbia University, New York, Aki Vehtari, Aalto University, Finland |
| title_short | Active statistics |
| title_sort | active statistics stories games problems and hands on demonstrations for applied regression and causal inference |
| title_sub | stories, games, problems, and hands-on demonstrations for applied regression and causal inference |
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