eco2ied intro. economic data analysis
INTRODUCTION TO ECONOMIC DATA ANALYSIS
ECO2IED
2016
Credit points: 15
Subject outline
In this subject students consider how to communicate and interpret commercial and economic information in terms of statistical measures. The probability approach is introduced, with applications to inferential statistics and hypothesis testing using sampling distributions in the realms of economics and commerce. Simple linear regression and testing for various hypotheses in business, economics and finance is also covered.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorPeter Sivey
Available to Study Abroad StudentsYes
Subject year levelYear Level 2 - UG
Exchange StudentsYes
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjects STA1SS
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | TBA | Prescribed | TBA | TBA |
Graduate capabilities & intended learning outcomes
01. Identify the statistical procedures that are most suited to various problems in business, economics and finance.
- Activities:
- Lectures, tutorials, prescribed reading, class discussions
- Related graduate capabilities and elements:
- Critical Thinking(Critical Thinking)
- Creative Problem-solving(Creative Problem-solving)
- Ethical Awareness(Ethical Awareness)
- Inquiry/ Research(Inquiry/ Research)
02. Perform various statistical procedures using SPSS and interpret their results.
- Activities:
- Lectures, tutorials, prescribed reading, class discussions
- Related graduate capabilities and elements:
- Creative Problem-solving(Creative Problem-solving)
- Ethical Awareness(Ethical Awareness)
- Inquiry/ Research(Inquiry/ Research)
- Critical Thinking(Critical Thinking)
03. Present your results and write reports in a way that is understandable to non-statisticians.
- Activities:
- Lectures, tutorials, prescribed reading, class discussions
- Related graduate capabilities and elements:
- Inquiry/ Research(Inquiry/ Research)
- Creative Problem-solving(Creative Problem-solving)
- Critical Thinking(Critical Thinking)
- Ethical Awareness(Ethical Awareness)
04. Illustrate various univariate and multivariate statistical procedures.
- Activities:
- Lectures, tutorials, prescribed reading, class discussion
- Related graduate capabilities and elements:
- Ethical Awareness(Ethical Awareness)
- Creative Problem-solving(Creative Problem-solving)
- Inquiry/ Research(Inquiry/ Research)
- Critical Thinking(Critical Thinking)
Subject options
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Dandenong, 2016, Semester 1, Day
Overview
Online enrolmentNo
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorPeter Sivey
Class requirements
LectureWeek: 10
One 2.0 hours lecture per week on weekdays during the day in week 10 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 2-hour final examination | End of semester examination period | 70 | 01, 02, 03, 04 |
| three assignments totalling 2,500-words | 25 | 01, 02, 03, 04 | |
| tutorial attendance and participation | Ongoing - based on perpration, attendance and level of involvement | 5 | 01, 02, 03, 04 |
Dandenong, 2016, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorPeter Sivey
Class requirements
LectureWeek: 31
One 2.0 hours lecture other recurrence on weekdays during the day in week 31 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 2-hour final examination | End of semester examination period | 70 | 01, 02, 03, 04 |
| three assignments totalling 2,500-words | 25 | 01, 02, 03, 04 | |
| tutorial attendance and participation | Ongoing - based on perpration, attendance and level of involvement | 5 | 01, 02, 03, 04 |