Module Code | ST8001 |
Module Name | Introduction to statistical concepts and methods |
ECTS Weighting[1] | 10 ECTS |
Semester taught | Semester 1 |
Module Coordinator | Prof. Mimi Zhang |
Module Learning Outcomes
On successful completion of this module, students will be able to:
- Demonstrate a systematic understanding of the fundamental inferential ideas which underpin statistical methods
- Demonstrate a broad understanding of the role of statistical ideas and methods covering both data collection and data analysis
- Demonstrate a competence in the use of basic statistical tools: data summaries, graphs, estimation and hypothesis testing
Module Content
Specific topics addressed in this module include:
- Data summaries and graphs Statistical models
- Sampling distributions confidence intervals and tests
- Comparative experiments: tests, confidence intervals, design issues
Teaching and Learning Methods
All teaching activities will be delivered through Blackboard.
Assessment Details
The module is assessed by a real-time online examination (100%).
Assessment Component | Brief Description | % of total |
Examination | Realtime online | 100 |
Reassessment Details
Re-assessment is also by real-time online examination (100%).
Contact Hours and Indicative Student Workload
Contact Hours (scheduled hours per student over full module), broken down by: | 31 hours |
Lecture | 10 hours |
laboratory | 0 hours |
tutorial | 21 hours |
Independent study (outside scheduled contact hours), broken down by: | 58 hours |
preparation for classes and review of material (including preparation for examination, if applicable) | 55 hours |
completion of assessments (including examination, if applicable) | 3 hours |
Total Hours | 89 hours |
Recommended Reading List
Core reading materials. The core reading material is the module study notes. These texts complement that material:
- Moore, McCabe and Craig, “Introduction to the Practice of Statistics”, 9th edition, published by Freeman.
- Carlson and Winquist, “An Introduction to Statistics: An Active Learning Approach”, 2nd edition, published by Sage.
Online reading materials. There are several free online texts in statistics that cover most of the material in this module. This one covers almost all of the module content:
- Shafer and Zhang, “Introductory Statistics”, https://open.umn.edu/opentextbooks/textbooks/135
Supplementary reading or similar materials:
- Grimmett and Welsh, “Probability: an Introduction”, published byOxford University Press.
- Hogg, McKean and Craig, “Mathematical Statistics: an Introduction”, 8th edition.
- Spiegelhalter, “The Art of Statistics: How to Learn from Data Hardcover – Illustrated”, published by Basic Books.
- James, Witten, Hastie and Tibshirani, “An Introduction to Statistical Learning: with Applications in R”, published by Springer.
- Silver, “The Signal and the Noise”, published by Penguin.
- Taleb, “The Black Swan”, published by Allen Lane
Module Pre-requisites
Prerequisite modules: None.
Other/alternative non-module prerequisites: None