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)
Resource Information
The item Vital statistics : an introduction to health-science statistics, Stephen McKenzie ; with contributed chapters by Dean McKenzie, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Vital statistics : an introduction to health-science statistics, Stephen McKenzie ; with contributed chapters by Dean McKenzie, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
- Language
- eng
- Extent
- 1 online resource ( x, 231 pages)
- 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
- Isbn
- 9780729581493
- 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
- Language
- eng
- 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)
- 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)
- 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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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Vital-statistics--an-introduction-to/t-47XJoVGGI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Vital-statistics--an-introduction-to/t-47XJoVGGI/">Vital statistics : an introduction to health-science statistics, Stephen McKenzie ; with contributed chapters by Dean McKenzie, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
