Statistical Methods for Geographers

Description

The module aims to develop an appreciation of quantitative data analysis within both physical and human geography.

Delivery

  • 1 hour lecture each week (except in Reading Week – week 7)
  • 1 hour computer class each week (except in Reading Week)

The exercises in the computer classes relate specifically to the statistical methods that are covered in the lectures. It is thus imperative to attend all lectures in this module.

You should not expect to complete all the questions in the one-hour class. It is envisaged that you will need to spend up to four hours each week completing the questions and mastering the material taught in each lecture.

Assessment

Two question booklets:

  • Question Booklet 1: 60% = six weeks’ work
  • Question Booklet 2: 40% = four weeks’ work

Key skills

This course teaches a range of statistical techniques that are used extensively across the physical and social sciences.

  • Regardless of the subject area, the stages involved in the analysis of any data set are similar. These stages usually entail the description of the data in terms of its central tendency and variability; the testing of differences and associations between samples; and the modelling of relationships
  • The use of the SPSS computer package
  • Numerical skills: the exercises in weeks 1-6 will test a student’s ability to conduct statistical tests by hand by using a calculator, a pen and a sheet of paper