Module ASB-2721:
Statistical methods
Module Facts
Run by Bangor Business School - (Changsha)
20.000 Credits or 10.000 ECTS Credits
Semester 1 & 2
Organiser: Ms Wendy Ashurst
Overall aims and purpose
AIMS: The module will introduce students to the ideas of probability and statistical inference, and demonstrate the application of those ideas. The overall aim is to provide a good foundation in statistical methods and techniques. There is a strong focus on implementing these techniques in Microsoft Excel.
Course content
The course will include statistical techniques, which will include, sampling methods, hypothesis testing, regression and correlation analysis. It will also cover the use of robustness testing, and the analysing of time series and panel data. There will be instruction on data management and the use of the statistical tools within Excel.
Assessment Criteria
threshold
C- to C+ (50-59%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.
good
B- to B+ (60-69%): Very good performance Most of the relevant information accurately deployed. Good grasp of theoretical/conceptual/practical elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Evidence of the use of creative and reflective skills.
C- to C+
C- to C+ (50-59%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.
excellent
A- to A+ (70%+): Outstanding performance. The relevant information accurately deployed. Excellent grasp of theoretical/conceptual/practice elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Strong evidence of the use of creative and reflective skills.
Learning outcomes
-
Apply key statistical concepts.
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Understand sampling methods and interpret statistical inference.
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Formulate and test hypotheses.
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Carry out investigations using summary statistics, graphs, techniques and exploratory data analysis, correlation and regression.
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Analyse data, and interpret the results.
Assessment Methods
| Type | Name | Description | Weight |
|---|---|---|---|
| Group Data Analysis Report | 20.00 | ||
| End of Semester 2 exam | 80.00 |
Teaching and Learning Strategy
| Hours | ||
|---|---|---|
| Workshop | 2-hour drop-in session every other week. Attendance is non-compulsory. |
20 |
| Private study | Review and reflect upon the course material and practice the applications of techniques in Excel. |
140 |
| Lecture | There will be a series of two-hour weekly lectures, which will include practical demonstrations and worked examples to try in class. |
40 |
Transferable skills
- Literacy - Proficiency in reading and writing through a variety of media
- Numeracy - Proficiency in using numbers at appropriate levels of accuracy
- Computer Literacy - Proficiency in using a varied range of computer software
- Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
- Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
- Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
- Teamwork - Able to constructively cooperate with others on a common task, and/or be part of a day-to-day working team
- Self-awareness & Reflectivity - Having an awareness of your own strengths, weaknesses, aims and objectives. Able to regularly review, evaluate and reflect upon the performance of yourself and others
Resources
Resource implications for students
Davis & Pecar Business Statistics using Excel Lee & Peters Business statistics using Excel & SPSS
Talis Reading list
http://readinglists.bangor.ac.uk/modules/asb-2721.htmlReading list
Davis & Pecar Business Statistics using Excel Lee & Peters Business statistics using Excel & SPSS
Courses including this module
Compulsory in courses:
- N405: BSc Accounting & Finance (Bangor College, China) year 2 (BSC/AFBC)
- N392: BSc Banking & Finance (Bangor College, China) year 2 (BSC/BFINBC)