Statistical Research Methods: A Guide for Non-Statisticians - Softcover

Sabo, Roy; Boone, Edward

Softcover

ISBN 10: 1493945483 ISBN 13: 9781493945481

Verlag: Springer, 2016

Inhaltsangabe

This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.

Über diesen Titel

Über die Autorin bzw. den Autor

Roy Sabo, Department of Biostatistics, Virginia Commonwealth University

Edward Boone, Department of Statistical Sciences and Operations Research, Virginia Commonwealth University

Von der hinteren Coverseite

This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2016
• Sprache: Englisch
• ISBN 10: 1493945483
• ISBN 13: 9781493945481
• Einband: Taschenbuch
• Anzahl der Seiten: 224
• Kontakt zum Hersteller: Nicht verfügbar
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