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Practical Statistics for Nursing and Health Care

Practical Statistics for Nursing and Health Care
Author: Jim Fowler - Phil Jarvis - Mel Chevannes
ISBN 13: 9780471497165
ISBN 10: 471497169
Edition: 1
Publisher: Wiley
Publication Date: 2002-02-15
Format: Paperback
Pages: 232
List Price: $71.95

A knowledge of statistics is becoming increasingly necessary for nurses and other health care professionals if they are to read research reports, critically appraise the empirical literature and utilise research in their practice.

Practical Statistics for Nursing and Health Care gently introduces the essential statistical techniques in an accessible manner to enable the reader to grasp the fundamentals and gain the confidence and understanding to perform their own analysis. Starting from first principles, the text then progresses step by step, with 'advice' sections for all the tests described. Including comprehensive coverage of all basic statistical concepts, information is also provided on relevant examples for nurses, including case studies, data sets and guidance for further reading.
Advice is also given in areas such as clinical trials and epidemiology equipping the reader to critically appraise work published in key medical journals.

Practical Statistics for Nursing and Healthcare:

  • Provides a user-friendly guide to statistical techniques and applications relevant to nurses and health care-workers.
  • Includes a variety of the most appropriate methods for gathering, presenting and analysing data.
  • Features essential tables of data, illustrations and numerous fully-worked examples.
An essential introduction to statistics for pre-registration nursing students on diploma and degree courses and a revision aid for practising nurses and healthcare professionals.


Written for nursing students, this introductory text outlines the essential statistical techniques, emphasizing the fundamental principles of using and understanding statistics. It begins with first principles, and builds the skills needed to perform analyses. Case studies, data sets, and illustrations are included. Chapters cover measurement and sampling, processing data, presenting data, clinical trials, basic epidemiology, measuring the average, measuring variability, probability, estimates, statistical testing, analyzing frequencies, correlations, regression analysis, comparing averages, and the analysis of variance. Annotation c. Book News, Inc., Portland, OR (booknews.com)