Introduction to Statistics for Business and Economics B
| Code | School | Level | Credits | Semesters |
| CELEN110 | Centre for English Language Education | 0 | 10 | Spring China |
- Code
- CELEN110
- School
- Centre for English Language Education
- Level
- 0
- Credits
- 10
- Semesters
- Spring China
Summary
Target Students
UNNC Preliminary Year SPP & International Students (non-domestic students) who are majoring in NUBS-related UG degrees.
Classes
- One 1-hour-30-minute seminar each week for 10 weeks
- One 1-hour-30-minute lecture each week for 11 weeks
Assessment
- 30% Mid-term (1-hour-30-minute)
- 70% final exam (2-hour)
Assessed by end of spring semester
Educational Aims
To teach students about the basics of descriptive statistics, correlation and regression, probability distribution, sampling distribution, estimation of population, confidence intervals, and hypothesis testing.To provide students with the confidence, mathematical knowledge and fluency in statistical techniques that are core to quantifying and analysing basic problems in business management and economics;To develop additional mathematical and statistical techniques, and their applications in problem solving.To prepare students for more advanced quantitative modules to be encountered in their next year of study.Learning Outcomes
- Knowledge and understanding: apply probability and statistical techniques to describe and analyse economic data. Calculate statistical correlation and utilise statistical tests to assess their validity. Carry out population sampling and analysis and understand the relationship between sampling and whole population statistics.
- Professional skills: construct and present statistical arguments with accuracy and clarity; apply basic statistical techniques to problems arising in the study of economics. Utilise probability theorems and statistical techniques to analyse and draw conclusions for real business and economic world.
- Intellectual skills: Develop statistical hypotheses and valid test methodologies. Carry out the empirical test on real world data and use the inferential results to validate or reject the hypotheses.
- Transferable skills: explain statistical techniques and their results using standardized terminology; express ideas and methods in the analysis of economic and statistical problems appropriately and effectively. Critically analyse the validity of date through understanding its sources and collection methodology.
Conveners
- Shanshan QU
Last updated 09/01/2025.