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Course & Unit Catalogues


PS52058: Statistical and mathematical modelling

[Page last updated: 22 August 2024]

Academic Year: 2024/25
Owning Department/School: Department of Psychology
Credits: 20 [equivalent to 40 CATS credits]
Notional Study Hours: 400
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 1
Assessment Summary: CWRI 100%
Assessment Detail:
  • Lab report: Take-home exam (CWRI 50%)
  • Lab report (CWRI 50%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Be able to run, and interpret, statistical tests, using appropriate analytic software. Learn how to use appropriate computer-based analytical tools to analyse data and to handle data sets. Demonstrate an understanding of fundamental concepts in game theory and statistics. Demonstrate an understanding of material needed for empirical quantitative analysis. Demonstrate the development of the habit of rigorous thought, knowledge and understanding to be able to carry out applied research. Develop the critical insight to appraise statistical results obtained by other researchers.


Synopsis: Enhance your knowledge of the range of statistical techniques common within the disciplines of psychology and economics. You'll explore topics such as: - optimisation - basic probability theory - univariate and multivariate statistics - hypothesis testing

Content: Topics in this unit might include: Introduction to game theory Static and dynamic games Statistical models and inference Drawing inference Hypothesis testing Comparing means Linear regression model

Course availability:

PS52058 is Compulsory on the following courses:

Department of Psychology

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.