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Module Content:Ìý

This is an introductory module for common statistical concepts and methods, with an introduction to statistical computing, designed for students with a good foundation in maths (eg A level or equivalent). This mathematics-focused module early in the degree will introduce students to the fundamental concepts in statistics needed to enable further study of technical subjects in the field of Information Studies and to work effectively with computational tools.Ìý

Through a combination of lectures and computing laboratory work, students will build the skills in their theoretical knowledge of mathematics, and how to apply it to real-life problems. Topics may include: describing data sets, using statistics to summarise data sets, probability, discrete random variables, normal random variables, distributions of sampling statistics, estimation, testing statistical hypotheses, hypothesis tests concerning two populations, analysis of variance, linear regression, Chi-squared Goodness-of-fit tests, and nonparametric hypothesis tests.Ìý

Learning Outcomes:

• Summarise, visualise and present statistical data effectively.Ìý
• Design experiments and conduct statistical analysisÌý
• Apply computational methods for statistical analysis of dataÌý

Delivery Method:Ìý

This module uses a combination of teaching and learning methods designed to give students the background knowledge needed to succeed, as well as the practical experience of applying that knowledge to real-life problems relevant to their studies. This includes lectures and computing laboratory work.Ìý

Additional Information :Ìý

Weekly feedback on problem-based tutorial sheet work.  Lab-based practical work with peers and teaching staff.Ìý

Brief overview of indicative readings;

• Chatfield, C., 2018. Statistics for technology: a course in applied statistics. Routledge.Ìý
• Ross, S.M., 2017. Introductory statistics. Academic Press.Ìý