Articles liés à Statistics Using R
Synopsis
Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.
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À propos des auteurs
Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology, and the former Vice Provost for Faculty Affairs, at New York University (NYU). She is the recipient of the NYU Steinhardt Outstanding Teaching Award, and has taught statistics at both undergraduate and graduate levels. Her research has been supported by federal agencies and private foundations.
Daphna Harel is Associate Professor of Applied Statistics at New York University. She is known for her innovative approach to teaching both introductory and advanced statistics. Her research has been supported by federal agencies and foundations, such as the National Institutes for Health and the Canadian Institutes for Health Research.
Sarah Knapp Abramowitz is Professor of Mathematics and Computer Science, Department Chair, and Co-ordinator of Statistics Instruction at Drew University. She is Associate Editor of the Journal of Statistics Education and has presented at national conferences on topics related to the teaching of statistics.
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- ÉditeurCambridge University Press
- Date d'édition2020
- ISBN 10 1108719147
- ISBN 13 9781108719148
- ReliureBroché
- Langueanglais
- Nombre de pages696
- Coordonnées du fabricantnon disponible
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Statistics Using R : An Integrative Approach
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Cambridge University Press, 2020
ISBN 10 : 1108719147
ISBN 13 : 9781108719148
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Statistics Using R: An Integrative Approach
Edité par
Cambridge University Press, 2020
ISBN 10 : 1108719147
ISBN 13 : 9781108719148
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Statistics Using R: An Integrative Approach
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Cambridge University Press, 2020
ISBN 10 : 1108719147
ISBN 13 : 9781108719148
Ancien ou d'occasion
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Statistics Using R
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Cambridge University Press, 2020
ISBN 10 : 1108719147
ISBN 13 : 9781108719148
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Etat : New. Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes R-code script files for students to l. N° de réf. du vendeur 367980982
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Statistics Using R: An Integrative Approach
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Statistics Using R
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Taschenbuch. Etat : Neu. Neuware -Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. 692 pp. Englisch. N° de réf. du vendeur 9781108719148
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Statistics Using R : An Integrative Approach
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ISBN 10 : 1108719147
ISBN 13 : 9781108719148
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Taschenbuch. Etat : Neu. Neuware - Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. N° de réf. du vendeur 9781108719148
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Statistics Using R
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ISBN 13 : 9781108719148
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ISBN 13 : 9781108719148
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Statistics Using R
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ISBN 13 : 9781108719148
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