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GG3068: DATA ANALYSIS (2022-2023)

Last modified: 31 May 2022 13:27


Course Overview

This course is a mix of 1 hour lectures and 1 hour practical sessions using statistical analysis software (SPSS). It is very much a 'hands-on' course and a wide range of datasets are employed to give you confidence in the application of statistical techniques. The course is designed to give you the skills to undertake exploratory data analysis, test for relationships (using correlation and regression), and test for differences between sample data (from the Sciences and Social Sciences). Classical statistical analysis techniques are introduced and the value of multivariate statistics to detect patterns in complex data sets is also explored.

Course Details

Study Type Undergraduate Level 3
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Mrs Ann Simpson

Qualification Prerequisites

  • Either Programme Level 3 or Programme Level 4

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

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

  • Topic 1: Introduction: sampling design, data types, descriptive statistics, use of data tables and charts, parametric vs. non-parametric statistics
  • Topic 2: Testing for relationships: data inspection, assumptions and transformations, correlation, bivariate linear regression, multiple linear regression
  • Topic 3: Testing for differences: between two samples (t-test, Mann-Whitney and Kolmogorov-Smirnov tests) or three or more samples (ANOVA, Kruskal-Wallis tests) and post hoc tests
  • Topic 4: Introduction to multivariate statistics: principal components analysis
  • Topic 5: Design and analysis of social surveys
  • Topic 6: Synthesis: key dos and don’ts, presenting statistics, use of statistics in published work

Details for second half-session courses, including assessments, may be subject to change until 23 December 2022.

Contact Teaching Time

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

Teaching Breakdown

  • 1 Computer Practical during University week s 8 - 18

More Information about Week Numbers


Details for second half-session courses, including assessments, may be subject to change until 23 December 2022.

Summative Assessments

Alternative Assessment

2x Short Training Exercise (15% each)

Final Project Report (70%)

Alternative Resit Assessment

Resubmission of failed coursework components usually permitted, but with mark capped at CGS D3/9.  Contact course coordinator.

Formative Assessment

Weekly practical classes supported by short training exercises and online quizzes

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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