This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2006-2007 (archived)
Module PSYS1041: INTRODUCTION TO STATISTICS
Department: Psychology (Applied Psychology) [Queen's Campus, Stockton]
PSYS1041: INTRODUCTION TO STATISTICS
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Open | 1 | 20 | Available in 2006/2007 | None. | Queen's Campus Stockton |
Pre-requisites
- Mathematics GCSE Grade C (or equivalent).
Corequisites
- None.
Excluded Combinations
- 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 | Attendance Monitored |
|---|---|---|---|---|---|
| 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 | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Examination | 60% | two-hour examination | 100% | ||
| Assignment | 40% | SPSS assignment | 100% |
Formative Assessment
Continous formative assessment: weekly tasks in both the SPSS and problem class sessions.
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.