Last modified: 25 May 2018 11:16
This is a statistics course open to all first and second year students. It is a useful course for students whose degree subject involves some amount of statistical analysis. The course teaches students how to summarise data effectively and how to correctly interpret it. Among the topics covered are sampling strategies, probability theory, confidence intervals and hypothesis tests. There are also weekly computer practicals using the statistics software RStudio. The mathematical context is emphasised but students are not expected to have a high level of maths.
| Study Type | Undergraduate | Level | 1 |
|---|---|---|---|
| Session | Second Sub Session | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | None. | Sustained Study | No |
| Co-ordinators |
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Basic data handling, summarisation and visualisation – graphical displays, tabulation, cleaning data, presentation. An introduction to probability distributions Random Sampling. The concepts of confidence intervals and hypothesis testing with simple examples. Relationships – correlation and regression.
Information on contact teaching time is available from the course guide.
1st Attempt: 1 two-hour written examination (70%); in-course assessment (30%).
Resit: 1 two-hour written examination paper (maximum of (100%) resit and (70%) resit with (30%) in-course assessment).
Homework given out weekly is discussed in tutorials.
Informal feedback at computer practicals.
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