Published by Springer Nature (edition 1st ed. 2016), 2017
ISBN 10: 3319461605 ISBN 13: 9783319461601
Language: English
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Published by Springer International Publishing, 2017
ISBN 10: 3319461605 ISBN 13: 9783319461601
Language: English
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 472 | Sprache: Englisch | Produktart: Bücher.
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Published by Springer International Publishing, 2023
ISBN 10: 3031118324 ISBN 13: 9783031118326
Language: English
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 604 | Sprache: Englisch | Produktart: Bücher.
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Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031120256 ISBN 13: 9783031120251
Language: English
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Paperback. Condition: new. Paperback. Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference.The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications. Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031120256 ISBN 13: 9783031120251
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference.The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.
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Seller: Studibuch, Stuttgart, Germany
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Add to baskethardcover. Condition: Gut. 469 Seiten; 9783319461601.3 Gewicht in Gramm: 2.
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First Edition
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Add to baskethardcover. Condition: Used - Good. 1st ed. 2016. some light wear. edgewear. very readable copy.
Seller: Books Puddle, New York, NY, U.S.A.
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Add to basketCondition: New. 2nd ed. 2022 edition NO-PA16APR2015-KAP.
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319834568 ISBN 13: 9783319834566
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital.The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics,macroeconomics,etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
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Add to basketCondition: New. 2nd ed. 2022 edition NO-PA16APR2015-KAP.