The module aims to introduce the student to probability theory and basic methods of statistical inference, why they are needed and how they are used in constructing a data analysis. The aim will be achieved through a mixture of theory and practice.
*Curricular information is subject to change
- Fundamentals of using statistics in data analysis
- Populations and samples; Representativeness; Sample Size; Central Limit Theorem and its role in data analysis; Sources of bias and dealing with bias
- Different data types; Data distributions and how to recognise and describe them Measures of centrality and variance; Role of normality
- Goodness of fit; Fitting a model; Validity and Reliability
- Measuring effect size; Type I and Type II errors; Statistical significance and statistical power
- Probability: basic concepts and definitions; interpreting probability; different distributions; confidence intervals
- Conducting Basic Statistical Tests
- Hypothesis Testing; Identifying correct tests to use in a range of analyses
- Understanding and interpreting test statistics
- Tests for correlation, comparing means, analysis of variance; Parametric and non-parametric
- Regression
- Building and interpreting a regression model using Simple Linear, Multiple Linear and Logistic Regression
- Assessing the fit of a regression model
- Data Reduction
- Exploratory and Confirmatory Factor Analysis
- Principal Component Analysis
- Reporting Analysis
Structuring a report on data analysis; Descriptive statistics required for different data types and tests; Graphical representations required for different data and tests
The module is designed to be delivered within a blended learning model, employing mixed modes (online and face to face) of learning, teaching and assessment.
TU059 will be delivered primarily in a face-to-face mode while TU256 and TU060 will be delivered in a blended mode.
Lectures, tutorials and computer laboratory sessions
| Module Content & Assessment | |
|---|---|
| Assessment Breakdown | % |
| Other Assessment(s) | 100 |