Undergraduate Programme and Module Handbook 2005-2006 (archived)
Module PSYS1041: INTRODUCTION TO STATISTICS
Department: PSYCHOLOGY (APPLIED PSYCHOLOGY) [Queen's Campus, Stockton]
PSYS1041: INTRODUCTION TO STATISTICS
| Type | Open | Level | 1 | Credits | 20 | Availability | Available in 2005/06 | Module Cap | None. | Location | Queen's Campus Stockton |
|---|
Prerequisites
- Mathematics GCSE Grade C (or equivalent).
Corequisites
- None.
Excluded Combination of Modules
- None.
Aims
- To introduce students to statistical concepts and methods used in experimental and applied psychology.
Content
- Introduction to basic statistical concepts including methods of characterising data, simple statistical analyses and the use of standard statisitical computing software.
Learning Outcomes
Subject-specific Knowledge:
- By the end of the module students should have an understanding of fundamental aspects of simple experimental design and statistical analysis and be able to apply this knowledge using standard statisitical computing software
Subject-specific Skills:
- Display an emerging understanding of the relationship between data and theory.
- Demonstrate developing skills in data handing and statistical analysis.
- Demonstrate developing competence in the design of experiments, including hypothesis testing and data interpretation.
Key Skills:
- Demonstrate a developing ability to organise and utilise knowledge.
- Demonstrate developing IT skills in data presentation.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Student acquisition of a broad range of knowledge relating to experimental design and statistics is facilitated by the material covered in lectures, practical classes and problem classes and is supported by additional material made available with DUO. Assessment of the conceptual knowledge acquired, including the statistical aspects of the relationship between data and theory, is achieved via the summer examination. Students' ability to apply this knowledge using standard statisitical computing software is assessed in the summative computing assignment.
- The ability to organise and utilise knowledge, together with skills in IT and data preparation are developed through students??? participation in problem classes and practical classes and are assessed in the summative computing assignment.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Total | 200 | ||||
| Lectures | 22 | 1 per week | 1 hour per lecture | 22 | |
| Practical classes/Terminal Sessions (Computing Classes) | 22 | 1 per week | 1 hour | 22 | |
| Seminars (Problem Classes) | 22 | 22 | |||
| Preparation and Reading | 134 |
Summative Assessment
| Component: Examination | Component Weighting: 60% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| two-hour examination | 100% | ||
| Component: Assignment | Component Weighting: 40% | ||
| Element | Length / duration | Element Weighting | Resit Opportunity |
| SPSS assignment | 100% | ||
Formative Assessment:
Continous formative assessment: weekly tasks in both the SPSS and problem class sessions.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University