| Module Code | STU12502 |
| Module Name | Introduction to Statistics II |
| ECTS Weighting [1] | 5 ECTS |
| Semester Taught | Semester 2 |
| Module Coordinator/s | Athanasios G. Georgiadis |
Module Learning Outcomes
On successful completion of this module, students will be able to:
LO1. Strongly grasp of the fundamental statistical ideas of significance tests
and confidence intervals, which underpin statistical analysis;
LO2. Apply simple statistical methods to practical problems involving two
groups or contingency tables;
LO3. Apply simple statistical methods to practical problems involving multiple
groups or explanatory variables;
LO4. Explain why statistical methods are so widely applied in both the natural
and social sciences, engineering and business;
LO5. Develop their knowledge of more advanced statistical ideas and
methods
Module Content
To introduce students to the elementary ideas of statistical inference and the use of
simple statistical methods in practical situations. Topics include:
• statistical variation;
• parameter estimation;
• statistical tests and their properties;
• design and analysis of simple comparative studies for both binary and
continuous variables;
• introduction to Analysis of Variance (ANOVA), regression and contingency
tables.
Teaching and Learning Methods
Two lectures and one tutorial per week.
Assessment Details
The final mark is the weighted average of the assessment and the 5 hour examination mark.
| Assessment Component | Brief Description | Learning Outcomes Addressed | % of Total | Week Set | Week Due |
| Examination | 3-hour examination | | 80% | NA | NA |
| Assessment | | | 20% | Week 6 | Week 7 |
Reassessment Details
3 hours,in person, 100%
Contact Hours and Indicative Student Workload
| Contact Hours (scheduled hours per student over full module), broken down by: | 33 hours |
| Lecture | 22 hours |
| Laboratory | 0 hours |
| Tutorial or Seminar | 11 hours |
| Other | 0 hours |
| Independent study (outside scheduled contact hours), broken down by: | 72 hours |
| Preparation for classes and review of material (including preparation for examination, if applicable) | 0 hours |
| Completion of Assessments (including examination, if applicable) | 0 hours |
| Total Hours | 105 hours |
Recommended Reading List
Extensive manuscripts sufficient for the course purposes will be provided. The following book is one of the best:
Sheldon Ross, Introduction to probability and statistics for engineers and scientists.
Fifth edition 2014.
Module Pre-requisites
Prerequisite modules: STU12501
Other/alternative non-module prerequisites: knowledge of elementary probability, especially the normal distribution, expectation and variance.
Module Co-requisites
None