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COURSE FULL This course is scheduled in Michaelmas and Hilary term.

Workshop participants will be expected to attend all four sessions:

19 February 2019 @ 09:30 - 12:30

26 February 2019 @ 09:30 - 12:30

5 March 2019 @ 09:30 - 12:30

12 March 2019 @ 09:30 - 12:30

Course aim

This course aims to provide researchers with a basic introduction to statistics, to ensure an understanding of the concepts of statistics that form the basis of computer statistics software, offering a stepping stone to attending more advanced statistics courses.

Course format

A workshop format with group work to consider the taught element of the course. Computers will not be used during the course. "Homework" study questions will be set to allow participants to work through problems in their own time between workshops - the course will run for four sessions, scheduled at weekly intervals.

Course content

The course will cover

  • data distributions
  • averages
  • standard deviation and standard error
  • sampling variations and statistical inference
  • the null hypothesis and hypothesis testing
  • statistical significance and confidence intervals
  • relative risk and odds ratios
  • chi-squared tests
  • power calculations, of particular importance for researchers writing grant applications, incorporating what these are and what they can tell you
  • the wilcoxon rank sum test
  • sensitivity/specifivity
  • confounding - what it is & why we care
  • anova - introduction, theory, interpretation of SPSS output correlations
  • power calculations (moved from "busy" 3rd workshop)

Course length

Four morning or afternoon workshops, held weekly. Workshop participants will be expected to attend all four sessions.

Participant numbers