Statistical Research Methods A Guide for Non-Statisticians /

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, d...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Sabo, Roy (Συγγραφέας), Boone, Edward (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Sabo, Roy.  |e author. 
245 1 0 |a Statistical Research Methods  |h [electronic resource] :  |b A Guide for Non-Statisticians /  |c by Roy Sabo, Edward Boone. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2013. 
300 |a IX, 214 p. 33 illus., 13 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction.- One-Sample Proportions.- Two-Sample Proportions.- Multi-Category Data -- Summarizing Continuous Data.- One-Sample Means -- Two-Sample Means.- Analysis of Variance.- Power and Sample-Size.- Association and Regression. 
520 |a 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. 
650 0 |a Statistics. 
650 1 4 |a Statistics. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics, general. 
700 1 |a Boone, Edward.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781461487074 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4614-8708-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)