Successful Statistics for Nursing and Healthcare

Autor Roger Watson, Ian Atkinson, Patricia Egerton

en Limba Engleză Paperback – 27 apr 2006

Successful Statistics For Nursing and Healthcare helps students to gain an understanding of statistical methods within the evidence-based health care context. It builds confidence in descriptive statistics, concentrating on appropriate statistical tools and the techniques used in research, whilst gently introducing the mathematics required.

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Specificații

ISBN-13: 9781403916525
ISBN-10: 1403916527
Pagini: 232
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.33 kg
Ediția:2006
Editura: Bloomsbury Publishing
Colecția Red Globe Press
Locul publicării:London, United Kingdom

Caracteristici

Features graphs and diagrams for illustration as well as a comprehensive Glossary containing the advance terms that may be met in research papers

Notă biografică

ROGER WATSON is Director of the Graduate School of Nursing and Midwifery at the University of Sheffield, UK. His research interests include older people, nurse education and employment.IAN ATKINSON is Senior Lecturer in Research Methods at the School of Health and Social Care, University of Teesside, UK. He is involved in teaching Quantitative Methods on pre and post-registration modules for health care professionals. He has many years of experience as a researcher in nursing and other health care topics.PATRICIA EGERTON was, until recently, Head of Mathematics and Statistics at the University of Teesside, UK. She taught Mathematics undergraduates, as well as those from other disciplines (including Sport Science, Business, Science, Engineering and Computer Graphics). She was a University Teaching Fellow and was awarded a National Teaching Fellowship in 2000.

Cuprins

Setting the Scene Levels of Measurement Populations and Samples Presenting Data Summarising Data Distributions and their Curves Is It Likely? Estimating with Confidence Normal or Not? Different or Not? The Significance of Proportions The Strength of Relationships Large Numbers of Variables.

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