PUN105 Health Statistics 1
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | PUN105 |
|---|---|
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $493 |
| Domestic tuition unit fee | $2,916 |
| International unit fee | $4,104 |
Unit Outline: Semester 1 2021, Kelvin Grove, Internal
| Unit code: | PUN105 |
|---|---|
| Credit points: | 12 |
| Coordinator: | Michelle Gatton | m.gatton@qut.edu.au |
Overview
This is a foundational research methods unit which introduces fundamental statistical concepts relevant to describing data and testing scientific hypotheses. An understanding of basic statistical concepts is a fundamental research skill in any scientific or health discipline. Such knowledge is mandatory for critical evaluation of the research literature, for design of efficient research studies, and to inform appropriate interpretation of research results. As such, the concepts taught in this unit are essentail for postgraduate students intending to undertake independent research, and indeed, to any student attempting to critically evaluate research literature. This is an introductory unit and knowledge and skills developed in this unit are relevant to a variety of health disciplines. HLN706 Health Statistics 2 builds on this unit by extending your knowledge and skills, allowing you to conduct more complex analysis.
Learning Outcomes
On successful completion of this unit you will be able to:
- Discriminate the most appropriate descriptive and inferential statistics to use in a given health context;
- Analyse health data using statistical software and interrogate the test assumptions;
- Interpret and report the results of computer-generated statistical analyses.
Content
Beyond a common core of statistical concepts, each discipline area emphasises its own set of descriptive and inferential statistical methods and even terminology. The content of this unit emphasises both core and health-specific statistical methods in the health sciences. Students will be provided with substantial practical experience in the application and interpretation of the most common statistical methods to health data, and will also be made aware of data management principles in preparation for analysis. Rather than introducing a variety of statistical methods, this unit will be aimed at mastery of a few fundamental concepts including descriptive statistics, Chi-square analysis, comparison of means and linear regression. This level of mastery is considered imperative whether or not students continue on to postgraduate research. There will be a strong emphasis on applying concepts through worked examples from a range of topic areas, and interpreting and reporting results.
Learning Approaches
This unit engages you in your learning through a theory-to-practice approach with 50% of the unit made up of practical application. You will develop a theoretical understanding of concepts in lectures, with practical application in workshops where you will analyse real data sets.
The unit adopts a blended learning approach. Internal students will engage in a two (2) hour lecture and a two (2) hour workshop each week where you will engage with peers and teaching staff. External students will work through a study guide, readings and an activity workbook. Formative online learning activities will be available to all students.
Feedback on Learning and Assessment
You will gain feedback in this unit by participating in workshops and online discussion forums. Written feedback, either as worked solutions and/or individual feedback, will be provided for each assessment task. Formative online resources are available to provide feedback prior to Assessment 1.
Assessment
Overview
The successful study of statistics requires cumulative learning. This unit is designed to reflect this, and hence mastery of early concepts will be necessary to understand later concepts. Assessment items are similarly designed, where understanding of some concepts will, of necessity, be assessed (at different levels) in every assessment item. All assessment items have been designed to be both formative and summative.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Quiz/Test
Short answer/mulitple choice quiz to assess comprehension of basic concepts and application to new problems in a given health context.
Assessment: Analytical Report
Analytical Report
Written report describing the analysis of a health data set and the subsequent interpretation of results.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Recommended text(s)
Kirkwood, B.R., Sterne J.A. (2003). Essential Medical Statistics. Blackwell: USA.
Other
The PUN105 Study Guide is a recommended resource for all students. Both internal and external students will be able to download the study guide modules from the PUN105 Blackboard website. Required readings will be made available to all students via QUT Readings.
Students will be required to have access to a statistical software package. The unit notes and examples will use the Jamovi statistical software. This is freeware and available for free download by all students.
Risk Assessment Statement
There are no out of the ordinary risks associated with this unit. You are recommended to take regular breaks if engaging in prolonged computer-based work.
Unit Outline: Semester 1 2021, Kelvin Grove, External
| Unit code: | PUN105 |
|---|---|
| Credit points: | 12 |
| Coordinator: | Michelle Gatton | m.gatton@qut.edu.au |
Overview
This is a foundational research methods unit which introduces fundamental statistical concepts relevant to describing data and testing scientific hypotheses. An understanding of basic statistical concepts is a fundamental research skill in any scientific or health discipline. Such knowledge is mandatory for critical evaluation of the research literature, for design of efficient research studies, and to inform appropriate interpretation of research results. As such, the concepts taught in this unit are essentail for postgraduate students intending to undertake independent research, and indeed, to any student attempting to critically evaluate research literature. This is an introductory unit and knowledge and skills developed in this unit are relevant to a variety of health disciplines. HLN706 Health Statistics 2 builds on this unit by extending your knowledge and skills, allowing you to conduct more complex analysis.
Learning Outcomes
On successful completion of this unit you will be able to:
- Discriminate the most appropriate descriptive and inferential statistics to use in a given health context;
- Analyse health data using statistical software and interrogate the test assumptions;
- Interpret and report the results of computer-generated statistical analyses.
Content
Beyond a common core of statistical concepts, each discipline area emphasises its own set of descriptive and inferential statistical methods and even terminology. The content of this unit emphasises both core and health-specific statistical methods in the health sciences. Students will be provided with substantial practical experience in the application and interpretation of the most common statistical methods to health data, and will also be made aware of data management principles in preparation for analysis. Rather than introducing a variety of statistical methods, this unit will be aimed at mastery of a few fundamental concepts including descriptive statistics, Chi-square analysis, comparison of means and linear regression. This level of mastery is considered imperative whether or not students continue on to postgraduate research. There will be a strong emphasis on applying concepts through worked examples from a range of topic areas, and interpreting and reporting results.
Learning Approaches
This unit engages you in your learning through a theory-to-practice approach with 50% of the unit made up of practical application. You will develop a theoretical understanding of concepts in lectures, with practical application in workshops where you will analyse real data sets.
The unit adopts a blended learning approach. Internal students will engage in a two (2) hour lecture and a two (2) hour workshop each week where you will engage with peers and teaching staff. External students will work through a study guide, readings and an activity workbook. Formative online learning activities will be available to all students.
Feedback on Learning and Assessment
You will gain feedback in this unit by participating in workshops and online discussion forums. Written feedback, either as worked solutions and/or individual feedback, will be provided for each assessment task. Formative online resources are available to provide feedback prior to Assessment 1.
Assessment
Overview
The successful study of statistics requires cumulative learning. This unit is designed to reflect this, and hence mastery of early concepts will be necessary to understand later concepts. Assessment items are similarly designed, where understanding of some concepts will, of necessity, be assessed (at different levels) in every assessment item. All assessment items have been designed to be both formative and summative.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Quiz/Test
Short answer/mulitple choice quiz to assess comprehension of basic concepts and application to new problems in a given health context.
Assessment: Analytical Report
Analytical Report
Written report describing the analysis of a health data set and the subsequent interpretation of results.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Recommended text(s)
Kirkwood, B.R., Sterne J.A. (2003). Essential Medical Statistics. Blackwell: USA.
Other
The PUN105 Study Guide is a recommended resource for all students. Both internal and external students will be able to download the study guide modules from the PUN105 Blackboard website. Required readings will be made available to all students via QUT Readings.
Students will be required to have access to a statistical software package. The unit notes and examples will use the Jamovi statistical software. This is freeware and available for free download by all students.
Risk Assessment Statement
There are no out of the ordinary risks associated with this unit. You are recommended to take regular breaks if engaging in prolonged computer-based work.
Unit Outline: Semester 2 2021, Kelvin Grove, Internal
| Unit code: | PUN105 |
|---|---|
| Credit points: | 12 |
| Coordinator: | Michelle Gatton | m.gatton@qut.edu.au |
Overview
This is a foundational research methods unit which introduces fundamental statistical concepts relevant to describing data and testing scientific hypotheses. An understanding of basic statistical concepts is a fundamental research skill in any scientific or health discipline. Such knowledge is mandatory for critical evaluation of the research literature, for design of efficient research studies, and to inform appropriate interpretation of research results. As such, the concepts taught in this unit are essentail for postgraduate students intending to undertake independent research, and indeed, to any student attempting to critically evaluate research literature. This is an introductory unit and knowledge and skills developed in this unit are relevant to a variety of health disciplines. HLN706 Health Statistics 2 builds on this unit by extending your knowledge and skills, allowing you to conduct more complex analysis.
Learning Outcomes
On successful completion of this unit you will be able to:
- Discriminate the most appropriate descriptive and inferential statistics to use in a given health context;
- Analyse health data using statistical software and interrogate the test assumptions;
- Interpret and report the results of computer-generated statistical analyses.
Content
Beyond a common core of statistical concepts, each discipline area emphasises its own set of descriptive and inferential statistical methods and even terminology. The content of this unit emphasises both core and health-specific statistical methods in the health sciences. Students will be provided with substantial practical experience in the application and interpretation of the most common statistical methods to health data, and will also be made aware of data management principles in preparation for analysis. Rather than introducing a variety of statistical methods, this unit will be aimed at mastery of a few fundamental concepts including descriptive statistics, Chi-square analysis, comparison of means and linear regression. This level of mastery is considered imperative whether or not students continue on to postgraduate research. There will be a strong emphasis on applying concepts through worked examples from a range of topic areas, and interpreting and reporting results.
Learning Approaches
This unit engages you in your learning through a theory-to-practice approach with 50% of the unit made up of practical application. You will develop a theoretical understanding of concepts in lectures, with practical application in workshops where you will analyse real data sets.
The unit adopts a blended learning approach. Internal students will engage in a two (2) hour lecture and a two (2) hour workshop each week where you will engage with peers and teaching staff. External students will work through a study guide, readings and an activity workbook. Formative online learning activities will be available to all students.
Feedback on Learning and Assessment
You will gain feedback in this unit by participating in workshops and online discussion forums. Written feedback, either as worked solutions and/or individual feedback, will be provided for each assessment task. Formative online resources are available to provide feedback prior to Assessment 1.
Assessment
Overview
The successful study of statistics requires cumulative learning. This unit is designed to reflect this, and hence mastery of early concepts will be necessary to understand later concepts. Assessment items are similarly designed, where understanding of some concepts will, of necessity, be assessed (at different levels) in every assessment item. All assessment items have been designed to be both formative and summative.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Quiz/Test
Short answer/mulitple choice quiz to assess comprehension of basic concepts and application to new problems in a given health context.
Assessment: Analytical Report
Analytical Report
Written report describing the analysis of a health data set and the subsequent interpretation of results.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Recommended text(s)
Kirkwood, B.R., Sterne J.A. (2003). Essential Medical Statistics. Blackwell: USA.
Other
The PUN105 Study Guide is a recommended resource for all students. Both internal and external students will be able to download the study guide modules from the PUN105 Blackboard website. Required readings will be made available to all students via QUT Readings.
Students will be required to have access to a statistical software package. The unit notes and examples will use the Jamovi statistical software. This is freeware and available for free download by all students.
Risk Assessment Statement
There are no out of the ordinary risks associated with this unit. You are recommended to take regular breaks if engaging in prolonged computer-based work.
Unit Outline: Semester 2 2021, Kelvin Grove, External
| Unit code: | PUN105 |
|---|---|
| Credit points: | 12 |
| Coordinator: | Michelle Gatton | m.gatton@qut.edu.au |
Overview
This is a foundational research methods unit which introduces fundamental statistical concepts relevant to describing data and testing scientific hypotheses. An understanding of basic statistical concepts is a fundamental research skill in any scientific or health discipline. Such knowledge is mandatory for critical evaluation of the research literature, for design of efficient research studies, and to inform appropriate interpretation of research results. As such, the concepts taught in this unit are essentail for postgraduate students intending to undertake independent research, and indeed, to any student attempting to critically evaluate research literature. This is an introductory unit and knowledge and skills developed in this unit are relevant to a variety of health disciplines. HLN706 Health Statistics 2 builds on this unit by extending your knowledge and skills, allowing you to conduct more complex analysis.
Learning Outcomes
On successful completion of this unit you will be able to:
- Discriminate the most appropriate descriptive and inferential statistics to use in a given health context;
- Analyse health data using statistical software and interrogate the test assumptions;
- Interpret and report the results of computer-generated statistical analyses.
Content
Beyond a common core of statistical concepts, each discipline area emphasises its own set of descriptive and inferential statistical methods and even terminology. The content of this unit emphasises both core and health-specific statistical methods in the health sciences. Students will be provided with substantial practical experience in the application and interpretation of the most common statistical methods to health data, and will also be made aware of data management principles in preparation for analysis. Rather than introducing a variety of statistical methods, this unit will be aimed at mastery of a few fundamental concepts including descriptive statistics, Chi-square analysis, comparison of means and linear regression. This level of mastery is considered imperative whether or not students continue on to postgraduate research. There will be a strong emphasis on applying concepts through worked examples from a range of topic areas, and interpreting and reporting results.
Learning Approaches
This unit engages you in your learning through a theory-to-practice approach with 50% of the unit made up of practical application. You will develop a theoretical understanding of concepts in lectures, with practical application in workshops where you will analyse real data sets.
The unit adopts a blended learning approach. Internal students will engage in a two (2) hour lecture and a two (2) hour workshop each week where you will engage with peers and teaching staff. External students will work through a study guide, readings and an activity workbook. Formative online learning activities will be available to all students.
Feedback on Learning and Assessment
You will gain feedback in this unit by participating in workshops and online discussion forums. Written feedback, either as worked solutions and/or individual feedback, will be provided for each assessment task. Formative online resources are available to provide feedback prior to Assessment 1.
Assessment
Overview
The successful study of statistics requires cumulative learning. This unit is designed to reflect this, and hence mastery of early concepts will be necessary to understand later concepts. Assessment items are similarly designed, where understanding of some concepts will, of necessity, be assessed (at different levels) in every assessment item. All assessment items have been designed to be both formative and summative.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Quiz/Test
Short answer/mulitple choice quiz to assess comprehension of basic concepts and application to new problems in a given health context.
Assessment: Analytical Report
Analytical Report
Written report describing the analysis of a health data set and the subsequent interpretation of results.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Recommended text(s)
Kirkwood, B.R., Sterne J.A. (2003). Essential Medical Statistics. Blackwell: USA.
Other
The PUN105 Study Guide is a recommended resource for all students. Both internal and external students will be able to download the study guide modules from the PUN105 Blackboard website. Required readings will be made available to all students via QUT Readings.
Students will be required to have access to a statistical software package. The unit notes and examples will use the Jamovi statistical software. This is freeware and available for free download by all students.
Risk Assessment Statement
There are no out of the ordinary risks associated with this unit. You are recommended to take regular breaks if engaging in prolonged computer-based work.