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

    Applied Statistics
  • Unit Code

    MAT2110
  • Year

    2019
  • Enrolment Period

    1
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
  • Unit Coordinator

    Mr Ebenezer AFRIFA-YAMOAH

Description

In this unit students will develop skills in the application of intermediate principles of statistics to univariate data. This unit is beneficial to students considering working in any science discipline as well as data analytics. Statistical software, such as SPSS or R, will be used where appropriate.

Prerequisite Rule

Students must pass 1 unit from MAT1114

Equivalent Rule

Unit was previously coded MAT3315 Unit was previously coded MAT3488

Learning Outcomes

On completion of this unit students should be able to:

  1. Identify and apply the appropriate univariate statistical technique for a wide variety of data sets.
  2. Produce estimates and predictions based on regression models.
  3. Summarise the theories and principles of univariate statistical analysis.
  4. Interpret and summarise statistical analysis conducted with appropriate software.
  5. Identify and account for ethical and cultural issues related to designing a research project, gathering and storing data.

Unit Content

  1. Principles of experimental design.
  2. Testing of assumptions and post-hoc analysis.
  3. Data transformation methods.
  4. Analysis of linear regression models.
  5. Fitting and analysis of generalised regression models.
  6. Non-parametric and distribution-free statistics.
  7. Analysis of Variance (factor, repeated measures, and co-variate)
  8. Use of statistical software such as SPSS and R.

Additional Learning Experience Information

Students will undertake a combination of lectures, tutorials/workshops. The lectures include presentation of motivating examples, along with theory and practical consideration in the application of the techniques. The workshops include self-paced work and students will learn to use statistical software packages. In addition, further examples are given in the tutorials and discussed with the class. The tutors will be on-hand to support and guide the students if required. Assessments focus on the practical applications of statistical thinking and experimental design.

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 Board of Examiners.

ON CAMPUS
TypeDescriptionValue
ReportResearch design project10%
AssignmentMulti-part assignment20%
TestTest20%
ExaminationEnd of semester examination50%

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.

MAT2110|2|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

    Applied Statistics
  • Unit Code

    MAT2110
  • Year

    2019
  • Enrolment Period

    2
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
  • Unit Coordinator

    Mr Ebenezer AFRIFA-YAMOAH

Description

In this unit students will develop skills in the application of intermediate principles of statistics to univariate data. This unit is beneficial to students considering working in any science discipline as well as data analytics. Statistical software, such as SPSS or R, will be used where appropriate.

Prerequisite Rule

Students must pass 1 unit from MAT1114

Equivalent Rule

Unit was previously coded MAT3315 Unit was previously coded MAT3488

Learning Outcomes

On completion of this unit students should be able to:

  1. Identify and apply the appropriate univariate statistical technique for a wide variety of data sets.
  2. Produce estimates and predictions based on regression models.
  3. Summarise the theories and principles of univariate statistical analysis.
  4. Interpret and summarise statistical analysis conducted with appropriate software.
  5. Identify and account for ethical and cultural issues related to designing a research project, gathering and storing data.

Unit Content

  1. Principles of experimental design.
  2. Testing of assumptions and post-hoc analysis.
  3. Data transformation methods.
  4. Analysis of linear regression models.
  5. Fitting and analysis of generalised regression models.
  6. Non-parametric and distribution-free statistics.
  7. Analysis of Variance (factor, repeated measures, and co-variate)
  8. Use of statistical software such as SPSS and R.

Additional Learning Experience Information

Students will undertake a combination of lectures, tutorials/workshops. The lectures include presentation of motivating examples, along with theory and practical consideration in the application of the techniques. The workshops include self-paced work and students will learn to use statistical software packages. In addition, further examples are given in the tutorials and discussed with the class. The tutors will be on-hand to support and guide the students if required. Assessments focus on the practical applications of statistical thinking and experimental design.

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 Board of Examiners.

ON CAMPUS
TypeDescriptionValue
ReportResearch design project10%
AssignmentMulti-part assignment20%
TestTest20%
ExaminationEnd of semester examination50%

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.

MAT2110|2|2