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  6. ST1506: UNDERSTANDING DATA

ST1506: UNDERSTANDING DATA (2015-2016)

Last modified: 25 Mar 2016 11:33


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 Minitab. The mathematical context is emphasised but students are not expected to have a high level of maths.





Course Details

Study Type Undergraduate Level 1
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr Daniel Vogel

Qualification Prerequisites

None.

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

  • Any Undergraduate Programme (Studied)
  • Either Programme Level 1 or Programme Level 2

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

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 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term 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.

Feedback

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

Informal feedback at computer practicals.

Course Learning Outcomes

None.
 

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