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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 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 attend a weekly two hour lecture and a one hour tutorial. Lectures introduce the key concepts of the unit and guide students through the theoretical issues and data analysis. Tutorials provide students with the opportunity to discuss critically the techniques employed and generate ideas about how to best analyse a problem. A group assignment task using real data, which is initiated in week 1 and submitted in week 12, develops their ability to work in teams and share ideas across different cultures. Engaged teaching and learning is applied by a series of real data sets. By the end of the semester students have a working example of their skills for their portfolio. Draft assignment submissions throughout the semester enable their progress to be monitored and provide valuable feedback to enhance their learning. This approach to `active learning' is supported in education research and enhances their learning experience. The teaching and learning approach is facilitated by developing communication skills through a series of Tutorial Paper in-class group presentations to their peers. Students studying the unit using an online mode work through a study program with resources provided online via Blackboard. Students are required to review learing materials each week and to complete assigned questions on each topic. Regular online access is required. The assignment enables students to work in teams and aims to improve students' problem solving and critical thinking skills when they apply statisical concepts and knowledge to analyse problems presented in the Research Papers and the real data set in the major assignment/case study.
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 |
|---|---|---|
| Case Study | Group Assignment ? Case Study | 25% |
| Presentation | Research Paper (seminar presentation) | 10% |
| Test | Lecture Examination (Week 9) | 15% |
| Examination | Final Examination | 50% |
| Type | Description | Value |
|---|---|---|
| Case Study | Major Assignment ? Case Study | 25% |
| Assignment | Research Paper 1 | 10% |
| Report | Research Paper 2 | 15% |
| Examination | Final Examination | 50% |
^ Mandatory reference
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.
ECF6102|2|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 attend a weekly two hour lecture and a one hour tutorial. Lectures introduce the key concepts of the unit and guide students through the theoretical issues and data analysis. Tutorials provide students with the opportunity to discuss critically the techniques employed and generate ideas about how to best analyse a problem. A group assignment task using real data, which is initiated in week 1 and submitted in week 12, develops their ability to work in teams and share ideas across different cultures. Engaged teaching and learning is applied by a series of real data sets. By the end of the semester students have a working example of their skills for their portfolio. Draft assignment submissions throughout the semester enable their progress to be monitored and provide valuable feedback to enhance their learning. This approach to `active learning' is supported in education research and enhances their learning experience. The teaching and learning approach is facilitated by developing communication skills through a series of Tutorial Paper in-class group presentations to their peers. Students studying the unit using an online mode work through a study program with resources provided online via Blackboard. Students are required to review learing materials each week and to complete assigned questions on each topic. Regular online access is required. The assignment enables students to work in teams and aims to improve students' problem solving and critical thinking skills when they apply statisical concepts and knowledge to analyse problems presented in the Research Papers and the real data set in the major assignment/case study.
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 |
|---|---|---|
| Case Study | Group Assignment ? Case Study | 25% |
| Presentation | Research Paper (seminar presentation) | 10% |
| Test | Lecture Examination (Week 9) | 15% |
| Examination | Final Examination | 50% |
| Type | Description | Value |
|---|---|---|
| Case Study | Major Assignment ? Case Study | 25% |
| Assignment | Research Paper 1 | 10% |
| Report | Research Paper 2 | 15% |
| Examination | Final Examination | 50% |
^ Mandatory reference
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.
ECF6102|2|2