School: Science

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Biostatistics
  • Unit Code

    MAT5212
  • Year

    2021
  • Enrolment Period

    1
  • Version

    3
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Dr Stacey Nichole REINKE

Description

This unit introduces students to the principles of biostatistics. In this unit students gain the skills necessary to perform basic biostatistical analyses making use of a statistical software package and also develop the ability to critically evaluate the use of statistical methods in health-related literature.

Learning Outcomes

On completion of this unit students should be able to:

  1. Select an appropriate biostatistical methodology to analyse health, biology, and/or environmental data.
  2. Perform hypothesis tests for means, correlation using parametric and non-parametric methods.
  3. Conduct statistical analyses using an appropriate software package, such as SPSS or R.
  4. Report statistical findings in a scientific manner.

Unit Content

  1. Use of a statistical package to analyse data
  2. Analysis of Variance.
  3. Simple and multiple linear regression.
  4. Chi-squared goodness-of-fit and independence tests.
  5. Non-parametric and distribution-free statistics.
  6. Logistic regression.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECUs LMS

JoondalupMount LawleySouth West (Bunbury)
Semester 113 x 2 hour labNot OfferedNot Offered
Semester 113 x 2 hour lectureNot OfferedNot Offered
Semester 213 x 2 hour labNot OfferedNot Offered
Semester 213 x 2 hour lectureNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences through ECUs LMS as well as additional ECU l

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

ON CAMPUS
TypeDescriptionValue
AssignmentData analysis assignments60%
ExaminationEnd of semester examination40%
ONLINE
TypeDescriptionValue
AssignmentData analysis assignments60%
ExaminationEnd of semester examination40%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT5212|3|1

School: Science

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Biostatistics
  • Unit Code

    MAT5212
  • Year

    2021
  • Enrolment Period

    2
  • Version

    3
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Dr Stacey Nichole REINKE

Description

This unit introduces students to the principles of biostatistics. In this unit students gain the skills necessary to perform basic biostatistical analyses making use of a statistical software package and also develop the ability to critically evaluate the use of statistical methods in health-related literature.

Learning Outcomes

On completion of this unit students should be able to:

  1. Select an appropriate biostatistical methodology to analyse health, biology, and/or environmental data.
  2. Perform hypothesis tests for means, correlation using parametric and non-parametric methods.
  3. Conduct statistical analyses using an appropriate software package, such as SPSS or R.
  4. Report statistical findings in a scientific manner.

Unit Content

  1. Use of a statistical package to analyse data
  2. Analysis of Variance.
  3. Simple and multiple linear regression.
  4. Chi-squared goodness-of-fit and independence tests.
  5. Non-parametric and distribution-free statistics.
  6. Logistic regression.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECUs LMS

JoondalupMount LawleySouth West (Bunbury)
Semester 113 x 2 hour labNot OfferedNot Offered
Semester 113 x 2 hour lectureNot OfferedNot Offered
Semester 213 x 2 hour labNot OfferedNot Offered
Semester 213 x 2 hour lectureNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences through ECUs LMS as well as additional ECU l

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

ON CAMPUS
TypeDescriptionValue
AssignmentData analysis assignments60%
ExaminationEnd of semester examination40%
ONLINE
TypeDescriptionValue
AssignmentData analysis assignments60%
ExaminationEnd of semester examination40%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT5212|3|2