Description
This course provides an introduction to statistics for analysing the results of psychological experiments and observational studies. The course covers different types of data and how to describe them, the principles underlying null hypothesis significance testing, and common tests and analyses, including ANOVA, correlation, regression and the general linear model. The course will focus on how to decide on the suitable analysis for a given problem, and how to evaluate the appropriateness of a statistical model and its underlying assumptions. Emphasis is placed on a conceptual understanding of statistical methods, and in most cases definition rather than computational formula are presented. Practical experience in applying the methods will be developed through exercises in Microsoft Excel and with the statistics package SPSS.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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