| Module Title |
Data Analysis |
| Module Code |
BAA1002 (ITS: EF108) |
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Faculty |
DCU Business School |
School |
DCU Business School |
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NFQ level |
8 |
Credit Rating |
5 |
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Description
The purpose of this module is to provide students with an introduction to data analysis and interpretation. Students will learn about sources of data, methods of data presentation and description, and how to conduct simple hypothesis tests and make inferences. On completion of the module, students should be able to draw on statistics appropriately to support their own arguments and be able to better understand and critique statistical analysis they encounter in academic papers in subsequent courses. Students are expected to attend lectures and to actively participate in workshops and tutorials. Term exercises will be assigned in order to focus students' study and ensure timely review of course material.
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Learning Outcomes
1. Define and calculate basic statistics used to describe distributions.
2. Present data in a meaningful way, using graphs and tables.
3. Perform calculations and manipulate data using a spreadsheet package, including estimation of a single variable regression.
4. Explain what a hypothesis test is, conduct simple hypothesis tests and interpret statistical significance.
5. Comment on statistical analysis in academic papers and identify shortcomings.
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Lecture | 18 | No Description | | Lecture | 6 | Workshops - Two of these sessions to be used as computer practicals | | Independent Study | 67 | Review of lecture material, additional reading, preparation for workshops | | Independent Study | 8 | Completion of Assessment 1 | | Independent Study | 6 | Completion of Assessment 2 | | Independent Study | 20 | Completion of Assessment 3 |
| Total Workload: 125 |
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| Section Breakdown | | CRN | 20053 | Part of Term | Semester 2 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Robert Gillanders | Module Teacher | Declan Curran, Lubani Nondo, Seyed Aref Mahdavi Ardekani |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Assignment | Take home exercise | 15% | Week 6 | | Assignment | Take home computer based exercise | 15% | Week 8 | | Participation | Constructive participation | 10% | Every Week | | Assignment | Final term assignment | 60% | Sem 2 End |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
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Pre-requisite |
None
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
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Indicative Content and Learning Activities
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Indicative Reading List
Books:
- by Gary Koop: 0, Analysis of economic data, 978-0470713891
- Beverly Dretzke,: 0, Statistics with Microsoft Excel, 978-0136043874
- Deborah Rumsey,: 0, Statistics II for Dummies, 978-0470466469
- by Deborah Rumsey: 2003, Statistics for dummies, Wiley, Hoboken, N.J., 978-0764554230
- Deborah Rumsey: 2005, Statistics workbook for dummies, Wiley, Hoboken, N.J., 978-0764584664
Articles:
None |
Other Resources
None |
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