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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.
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.
Students must pass 1 unit from MAT1114
Unit was previously coded MAT3315 Unit was previously coded MAT3488
On completion of this unit students should be able to:
Students will attend on campus classes as well as engage in learning activities through ECU Blackboard.
| Joondalup | Mount Lawley | South West (Bunbury) | |
|---|---|---|---|
| Semester 1 | 13 x 2 hour lab | Not Offered | Not Offered |
| Semester 1 | 13 x 2 hour lecture | Not Offered | Not Offered |
For more information see the Semester Timetable
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.
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.
| Type | Description | Value |
|---|---|---|
| Assignment | Multipart assignment from an extended problem set | 25% |
| Test | Mid-term test | 25% |
| Examination | End of semester examination | 50% |
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.
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:
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|1|1
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.
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.
Students must pass 1 unit from MAT1114
Unit was previously coded MAT3315 Unit was previously coded MAT3488
On completion of this unit students should be able to:
Students will attend on campus classes as well as engage in learning activities through ECU Blackboard.
| Joondalup | Mount Lawley | South West (Bunbury) | |
|---|---|---|---|
| Semester 1 | 13 x 2 hour lab | Not Offered | Not Offered |
| Semester 1 | 13 x 2 hour lecture | Not Offered | Not Offered |
For more information see the Semester Timetable
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.
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.
| Type | Description | Value |
|---|---|---|
| Assignment | Multipart assignment from an extended problem set | 25% |
| Test | Mid-term test | 25% |
| Examination | End of semester examination | 50% |
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.
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:
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|1|2