
Introduction to Statistics for Nurses
Routledge (Publisher)
1st Edition
Published on 1. July 2016
Book
Hardback
286 pages
978-1-138-14707-2 (ISBN)
Description
Take the fear out of statistics with this straightforward, practical and applied book on the how and why of using statistics.
Introduction to Statistics for Nurses is an essential introductory text for all nursing students coming to statistics for the first time. The nursing profession involves the use of statistics every day, for example in the cases of mortality rates, average life expectancies, percentage recovery rates, average remission times, and the findings of which drugs work best with which illnesses. In fact, all of the policies that surround this job, the treatment strategies, and all the facts described above are derived from the use of statistics.
This book will help students to understand the use of statistics in nursing literature, and shows how to use statistics effectively in answering research questions. Case studies throughout show how statistics are applied in nursing research and frequent exercises help to test the reader's knowledge as they progress.
Introduction to Statistics for Nurses is an essential introductory text for all nursing students coming to statistics for the first time. The nursing profession involves the use of statistics every day, for example in the cases of mortality rates, average life expectancies, percentage recovery rates, average remission times, and the findings of which drugs work best with which illnesses. In fact, all of the policies that surround this job, the treatment strategies, and all the facts described above are derived from the use of statistics.
This book will help students to understand the use of statistics in nursing literature, and shows how to use statistics effectively in answering research questions. Case studies throughout show how statistics are applied in nursing research and frequent exercises help to test the reader's knowledge as they progress.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 246 mm
Width: 174 mm
Weight
690 gr
ISBN-13
978-1-138-14707-2 (9781138147072)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

John Maltby | Liz Day | Glenn Williams
Introduction to Statistics for Nurses
E-Book
09/2014
1st Edition
Routledge
€69.99
Available for download

John Maltby | Liz Day | Glenn Williams
Introduction to Statistics for Nurses
E-Book
09/2014
1st Edition
Routledge
€69.99
Available for download

John Maltby | Liz Day | Glenn Williams
Introduction to Statistics for Nurses
Book
02/2007
1st Edition
Pearson Education Limited
€61.87
Shipment within 15-20 days
Persons
Glenn Williams, John Maltby, Liz Day
Content
Contents
Chapter 1 An introduction to statistics
Chapter 2 Variables
Chapter 3 Descriptive statistics: the FlorenceNightingale way
Chapter 4 Effective data cleaning and management
Chapter 5 Critical appraisal of analysis and reporting of descriptive statistics
Chapter 6 An introduction to inferential statistics
Chapter 7 Correlational statisticsChapter 8 Comparing average scores: statistics for all sorts of groups and occasionsChapter 9 Critical appraisal of analysis and reporting of inferential statistics
Chapter 10 Advanced thinking with probability and significance. Where to next?
ReferencesGlossary
Chapter 1 An introduction to statistics
Chapter 2 Variables
Chapter 3 Descriptive statistics: the FlorenceNightingale way
Chapter 4 Effective data cleaning and management
Chapter 5 Critical appraisal of analysis and reporting of descriptive statistics
Chapter 6 An introduction to inferential statistics
Chapter 7 Correlational statisticsChapter 8 Comparing average scores: statistics for all sorts of groups and occasionsChapter 9 Critical appraisal of analysis and reporting of inferential statistics
Chapter 10 Advanced thinking with probability and significance. Where to next?
ReferencesGlossary