Last modified: 05 Aug 2021 13:04
This course aims to provide students with an understanding of statistical concepts and methods relevant to accounting, management, finance, real estate and economics. The course is intended to enable students
i) To understand the principles of descriptive statistics, index construction, statistical inference, correlation, regression and time series analysis
ii) To apply statistical techniques to the analysis of accounting, business and economic issues and interpret findings
iii) To identify important sources of data in accounting, business and economics
Study Type | Undergraduate | Level | 2 |
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Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Offshore | Sustained Study | No |
Co-ordinators |
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The course provides an introduction to the following concepts in an accessible and straightforward manner: Graphical techniques for summarising data; Summary descriptive measures of central location and variability; Index numbers; Probability and probability distributions; Confidence intervals; Hypothesis testing; The X2 and F distributions; Correlation; Regression analysis Time series analysis and forecasting
Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 20 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Oral feedback is given during tutorials and model answers provided to tutorial exercises. Model answers will also be provided for the in-course test while individual written feedback will be provided for the course assignment. |
Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 80 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
Assessment Type | Summative | Weighting | 100 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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Knowledge Level | Thinking Skill | Outcome |
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Factual | Remember | ILO’s for this course are available in the course guide. |
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