Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
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ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
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Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, New Jersey, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Paperback. Condizione: new. Paperback. A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides "This "translation" of Imai's Quantiative Social Science makes the book adoptable in courses that use tidyverse. Tidyverse is a "dialect" of R--that is, it is a set of R packages that make data science work more user-friendly. Many instructors find tidyverse much easier to teach and are increasingly using this in the classroom setting"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, US, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 69,26
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Aggiungi al carrelloPaperback. Condizione: New. A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides.
Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Aggiungi al carrelloCondizione: New. 2022. Paperback. . . . . .
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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ISBN 10: 0691222282 ISBN 13: 9780691222288
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 73,46
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Aggiungi al carrelloPaperback. Condizione: New. A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides.
Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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ISBN 10: 0691222282 ISBN 13: 9780691222288
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Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Lingua: Inglese
Editore: Princeton University Press, New Jersey, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides "This "translation" of Imai's Quantiative Social Science makes the book adoptable in courses that use tidyverse. Tidyverse is a "dialect" of R--that is, it is a set of R packages that make data science work more user-friendly. Many instructors find tidyverse much easier to teach and are increasingly using this in the classroom setting"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.