Visit ECU Homepage
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.
Please note that there may be some modifications to the assessment schedule promoted in Handbook for Semester 1 2023 Units. All assessment changes will be published by 20th February 2023. All students are reminded to check the handbook at the beginning of semester to ensure they have the correct outline.
In this unit students will identify and implement appropriate statistical procedures to assist managers in making sound decisions in the face of uncertainty. The unit initially concentrates on developing an understanding of averages, variability and probability along with the various models of data behaviour in business enabling managers to choose between different investment strategies. From here the students learn the different methods of sampling, and an understanding of inferential statistics and an appreciation of estimates of the population parameters is established through confidence intervals. This leads to the main themes of the unit including hypothesis testing of means, proportions, variances and categorical responses and finally regression and multiple regression analysis. These techniques are used to authenticate the model, and to estimate and predict with confidence future outcomes for business. These applications are all applied to real data sets.
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's LMS
| Joondalup | Mount Lawley | South West (Bunbury) | |
|---|---|---|---|
| Semester 1 | 13 x 3 hour seminar | Not Offered | Not Offered |
| Semester 2 | 13 x 3 hour seminar | Not Offered | Not Offered |
For more information see the Semester Timetable
Students will engage in learning experiences via ECU’s LMS as well as additional ECU learning technologies
On-campus students attend lectures and seminars using a technology enhanced learning (TEL) learning approach including interactive presentations, videos, small group and individual activities in class and online. Students are required to complete a series of tasks allocated each week before attending weekly seminars. On campus activities will focus on theoretical and practical issues, data analysis, problem solving, critical thinking and teamwork. Seminars provide students with the opportunity to consolidate the key concepts of the unit and guide students through the theoretical and practical issues and data analysis. Online students participate in the unit via the Learning Management System (LMS) and will require regular online access. Students are required to work through a series of tasks and participate in various online activities every week, to learn to problems solve, to analyse, to discuss, to develop and to apply the concepts covered in lectures, readings, and assessments. Online activities are designed to develop the students’ problem solving skills, critical thinking and teamwork skills. Assessment tasks are designed to allow students to demonstrate their capacity to work in teams, to problem solve and to think critically when applying statistical concepts and knowledge.
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.
| Type | Description | Value |
|---|---|---|
| Exercise | Weekly pre-class exercise | 25% |
| Presentation | Research Paper Presentation | 35% |
| Examination | EXAM | 40% |
| Type | Description | Value |
|---|---|---|
| Exercise | Weekly pre-class exercise | 25% |
| Presentation | Research Paper Presentation | 35% |
| Examination | EXAM | 40% |
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.
Students please note: The marks and grades received by students on assessments may be subject to further moderation. Informal vivas may be conducted as part of an assessment task, where staff require further information to confirm the learning outcomes have been met. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.
Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work as well as any generative artificial intelligence tools that may have been used. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.
Breaches of academic integrity can include:
Copying the words, ideas or creative works of other people or generative artificial intelligence tools, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).
Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).
Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.
Using or having access to unauthorised materials in an exam or test.
Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.
ECU's policies and more information about academic integrity can be found on the student academic integrity website.
All commencing ECU students are required to complete the Academic Integrity Module.
In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.
Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.
ECF6102|4|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 identify and implement appropriate statistical procedures to assist managers in making sound decisions in the face of uncertainty. The unit initially concentrates on developing an understanding of averages, variability and probability along with the various models of data behaviour in business enabling managers to choose between different investment strategies. From here the students learn the different methods of sampling, and an understanding of inferential statistics and an appreciation of estimates of the population parameters is established through confidence intervals. This leads to the main themes of the unit including hypothesis testing of means, proportions, variances and categorical responses and finally regression and multiple regression analysis. These techniques are used to authenticate the model, and to estimate and predict with confidence future outcomes for business. These applications are all applied to real data sets.
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's LMS
| Joondalup | Mount Lawley | South West (Bunbury) | |
|---|---|---|---|
| Semester 1 | 13 x 3 hour seminar | Not Offered | Not Offered |
| Semester 2 | 13 x 3 hour seminar | Not Offered | Not Offered |
For more information see the Semester Timetable
Students will engage in learning experiences via ECU’s LMS as well as additional ECU learning technologies
On-campus students attend lectures and seminars using a technology enhanced learning (TEL) learning approach including interactive presentations, videos, small group and individual activities in class and online. Students are required to complete a series of tasks allocated each week before attending weekly seminars. On campus activities will focus on theoretical and practical issues, data analysis, problem solving, critical thinking and teamwork. Seminars provide students with the opportunity to consolidate the key concepts of the unit and guide students through the theoretical and practical issues and data analysis. Online students participate in the unit via the Learning Management System (LMS) and will require regular online access. Students are required to work through a series of tasks and participate in various online activities every week, to learn to problems solve, to analyse, to discuss, to develop and to apply the concepts covered in lectures, readings, and assessments. Online activities are designed to develop the students’ problem solving skills, critical thinking and teamwork skills. Assessment tasks are designed to allow students to demonstrate their capacity to work in teams, to problem solve and to think critically when applying statistical concepts and knowledge.
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.
| Type | Description | Value |
|---|---|---|
| Exercise | Weekly pre-class exercise | 25% |
| Presentation | Research Paper Presentation | 35% |
| Examination | EXAM | 40% |
| Type | Description | Value |
|---|---|---|
| Exercise | Weekly pre-class exercise | 25% |
| Presentation | Research Paper Presentation | 35% |
| Examination | EXAM | 40% |
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.
Students please note: The marks and grades received by students on assessments may be subject to further moderation. Informal vivas may be conducted as part of an assessment task, where staff require further information to confirm the learning outcomes have been met. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.
Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work as well as any generative artificial intelligence tools that may have been used. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.
Breaches of academic integrity can include:
Copying the words, ideas or creative works of other people or generative artificial intelligence tools, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).
Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).
Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.
Using or having access to unauthorised materials in an exam or test.
Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.
ECU's policies and more information about academic integrity can be found on the student academic integrity website.
All commencing ECU students are required to complete the Academic Integrity Module.
In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.
Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.
ECF6102|4|2