Coverart for item
The Resource Vital statistics : an introduction to health-science statistics, Stephen McKenzie ; with contributed chapters by Dean McKenzie, (electronic book)

Vital statistics : an introduction to health-science statistics, Stephen McKenzie ; with contributed chapters by Dean McKenzie, (electronic book)

Label
Vital statistics : an introduction to health-science statistics
Title
Vital statistics
Title remainder
an introduction to health-science statistics
Statement of responsibility
Stephen McKenzie ; with contributed chapters by Dean McKenzie
Creator
Contributor
Author
Contributor
Subject
Language
eng
Member of
Cataloging source
NhCcYBP
http://library.link/vocab/creatorName
McKenzie, Stephen
Dewey number
610.72
Illustrations
illustrations
Index
index present
Language note
Text in English
LC call number
RA407
LC item number
.M35 2013
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • McKenzie, Dean
  • EBSCOhost
http://library.link/vocab/subjectName
  • Medical statistics
  • Health status indicators
  • Biometry
  • Statistics as Topic
  • Health Status Indicators
Label
Vital statistics : an introduction to health-science statistics, Stephen McKenzie ; with contributed chapters by Dean McKenzie, (electronic book)
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Front cover; Vital statistics; Copyright page; Table of Contents; Foreword; Preface; Acknowledgments; Reviewers; Dedication; 1 A fool-resistant introduction to statistics (Hardly anything is foolproof.); Objectives; Introduction; What statistics really are and how they can help; Statistics: what's in them for me?; The purpose of statistics; Statistics as evidence; Some useful statistical tips; Statistics in the health sciences: background; Statistics in the health sciences: foreground; Some interesting health-science uses and abuses of statistics; An early example; A modern example
  • Health-science information versus health-science disinformationConclusion; Quick reference summary; References; 2 Statistics as information; Objectives; Introduction; Data; Data scales; The nominal scale; The ordinal scale; The interval scale; The ratio scale; The scales of data justice; Data distributions; The binomial distribution; The normal distribution; Normal distribution spotting; Assumption of normally distributed data; Variables; Types of variable; Standardisation of data; Percentiles; The z-score; Conclusion; Quick reference summary; References; 3 Descriptive statistics; Objectives
  • IntroductionThe purpose of descriptive statistics; Measures of central tendency; The mean; The median; The mode; Measures of dispersion; The variance; The standard deviation; Graphs and plots; The histogram and the bar chart; The pie chart; Box plot; How to recognise descriptive statistical untruths; Misleading levels of accuracy; Misleading graphs; Misleading numbers; Incomplete data; Conclusion; Quick reference summary; References; 4 Probability; Objectives; Introduction; Probability and statistics; Applied probability theory; Coin tossing; Birth ratios; Gambling; Health sciences
  • Probability distributionsThe binomial probability distribution; The normal probability distribution; Subjective probability; Conclusion; Quick reference summary; References; Further reading; 5 Inferential statistics, sampling and hypothesis testing; Objectives; Introduction; A definition; Sampling; Characteristics of good samples; Random selection; Characteristics of not-so-good samples; Sample selection bias: a historical example; Sample selection bias: a health-science example; Hypothesis testing; The null hypothesis; A health-science example; The alternative hypothesis
  • A health-science exampleDirectional and non-directional hypotheses; Hypothesis testing epilogue; Inferential statistical testing procedure; A general example; A health-science example; Background; The research sequence; Conclusion; Quick reference summary; References; 6 Significance testing, beyond significance testing, and experimental design; Objectives; Introduction; Significance testing; Some health-science examples; Levels of significance; Significance testing error types; Beyond statistical significance; Effect size; A health-science example of the importance of effect size
Control code
99981202501
Dimensions
unknown
Extent
1 online resource ( x, 231 pages)
File format
unknown
Form of item
online
Isbn
9780729581493
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Label
Vital statistics : an introduction to health-science statistics, Stephen McKenzie ; with contributed chapters by Dean McKenzie, (electronic book)
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Front cover; Vital statistics; Copyright page; Table of Contents; Foreword; Preface; Acknowledgments; Reviewers; Dedication; 1 A fool-resistant introduction to statistics (Hardly anything is foolproof.); Objectives; Introduction; What statistics really are and how they can help; Statistics: what's in them for me?; The purpose of statistics; Statistics as evidence; Some useful statistical tips; Statistics in the health sciences: background; Statistics in the health sciences: foreground; Some interesting health-science uses and abuses of statistics; An early example; A modern example
  • Health-science information versus health-science disinformationConclusion; Quick reference summary; References; 2 Statistics as information; Objectives; Introduction; Data; Data scales; The nominal scale; The ordinal scale; The interval scale; The ratio scale; The scales of data justice; Data distributions; The binomial distribution; The normal distribution; Normal distribution spotting; Assumption of normally distributed data; Variables; Types of variable; Standardisation of data; Percentiles; The z-score; Conclusion; Quick reference summary; References; 3 Descriptive statistics; Objectives
  • IntroductionThe purpose of descriptive statistics; Measures of central tendency; The mean; The median; The mode; Measures of dispersion; The variance; The standard deviation; Graphs and plots; The histogram and the bar chart; The pie chart; Box plot; How to recognise descriptive statistical untruths; Misleading levels of accuracy; Misleading graphs; Misleading numbers; Incomplete data; Conclusion; Quick reference summary; References; 4 Probability; Objectives; Introduction; Probability and statistics; Applied probability theory; Coin tossing; Birth ratios; Gambling; Health sciences
  • Probability distributionsThe binomial probability distribution; The normal probability distribution; Subjective probability; Conclusion; Quick reference summary; References; Further reading; 5 Inferential statistics, sampling and hypothesis testing; Objectives; Introduction; A definition; Sampling; Characteristics of good samples; Random selection; Characteristics of not-so-good samples; Sample selection bias: a historical example; Sample selection bias: a health-science example; Hypothesis testing; The null hypothesis; A health-science example; The alternative hypothesis
  • A health-science exampleDirectional and non-directional hypotheses; Hypothesis testing epilogue; Inferential statistical testing procedure; A general example; A health-science example; Background; The research sequence; Conclusion; Quick reference summary; References; 6 Significance testing, beyond significance testing, and experimental design; Objectives; Introduction; Significance testing; Some health-science examples; Levels of significance; Significance testing error types; Beyond statistical significance; Effect size; A health-science example of the importance of effect size
Control code
99981202501
Dimensions
unknown
Extent
1 online resource ( x, 231 pages)
File format
unknown
Form of item
online
Isbn
9780729581493
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

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