Run by Bangor Business School - (Changsha)
10.000 Credits or 5.000 ECTS Credits
Organiser: Ms Wendy Ashurst
Overall aims and purpose
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.
Constrained optimisation; Hypothesis tests; Type I and Type II errors; Level of significance; Correlation and causality; Linear Regression Model; Ordinary Least Squares estimation; Testing the significance of a regression.
A basis knowledge of course material.
In addition to the above, the ability to illustrate and enhance arguments and analyse through the use of relevant supporting evidence drawn from the established literature.
In addition to the above, an ability to write analytically on specific issues.
Formulate and test hypothesis.
Analyse data, and interpret the results.
Understand the basis ideas of sampling and statistical inference.
Carry out investigations using summary statistics, graphs, techniques and exploratory data analysis, correlation and regression.
Demonstrate an understanding of basis statistical concepts.
|3 On line tests 20 minutes each||25.00|
|Exam S1 1 hour||75.00|
Teaching and Learning Strategy
One 2-hour lecture per week
One 1-hour tutorial per fornight.
- Numeracy - Proficiency in using numbers at appropriate levels of accuracy
- 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.
- 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