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ST1506: UNDERSTANDING DATA (2017-2018)

Last modified: 25 May 2018 11:16

Course Overview

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.

Course Details

Study Type Undergraduate Level 1
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
  • Dr Francisco Perez-Reche

Qualification Prerequisites

  • Either Programme Level 1 or Programme Level 2

What courses & programmes must have been taken before this course?

  • Any Undergraduate Programme (Studied)

What other courses must be taken with this course?


What courses cannot be taken with this course?

  • ST1505 Understanding Data (Studied)

Are there a limited number of places available?


Course Description

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.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown


More Information about Week Numbers

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

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).

Formative Assessment

Homework given out weekly is discussed in tutorials.


In-course assessment will be marked and feedback provided to the students.

Informal feedback at computer practicals.

Course Learning Outcomes


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