Vital Statistics: an introduction to health science statistics is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful both in the real world, and in statistics exams.
Vital Statistics: an introduction to health science statistics is a relatively small and easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges.
Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics.
It explores:
From the Foreword "Students of health sciences are commonly required to have a basic understanding
of statistics. For the more mathematically inclined, this will be easily acquired and there are many existing textbooks that will serve their needs well. However, for others learning about statistics will be an onerous task that may not seem directly relevant to their goal of becoming a health practitioner. To make statistics interesting, relevant and accessible for these students is a continuing challenge for their teachers. Having a suitable textbook that can motivate, inspire and explain complex concepts in plain language would be a big help. This new book by the McKenzie brothers does just that. It reflects many years of experience in explaining statistics to students and practitioners.I hope and expect that this new textbook will infect many health science students with the authors&apos obvious love of the topic and lead them to want to learn more. In particular, I hope that they see the value of statistics to evidence-based professional practice and become better practitioners as a consequence." Anthony Jorm PhD DSc, Professorial Fellow, Melbourne School of Population Health, University of Melbourne, VIC
Author | McKenzie |
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Table Of Content | Chapter 1: A Fool-Resistant Introduction to statistics Chapter 2: Statistics as information Chapter 3: Descriptive statistics Chapter 4: Probability Chapter 5: Inferential statistics, sampling and hypothesis testing Chapter 6: Significance testing, beyond significance testing and experimental design Chapter 7: Measures of differences (1): t-tests and the chi-square test Chapter 8: Measures of differences (2): analysis of variance (ANOVA) Chapter 9: Measures of association (1): correlation Chapter 10: Measures of association (2): regression Chapter 11: Qualitative research methods Chapter 12: Statistics in the health sciences Chapter 13: Reliability, validity and norms Chapter 14: Statistics and the computer |
Format | 215 x 140mm |
Page Count | 232 |
Publish Date | 19 Aug 2013 |