A Review of Basic Statistics
This course builds up the basic ideas of statistics systematically and quickly. It provides a review of the methods of summarising and presenting data, estimation, standard errors, confidence intervals, hypothesis testing and p-values. Mathematical details are kept to a minimum.
Much of the course is practical work using accessible and user-friendly statistical packages such as Minitab, R, SAS, SPSS and Stata. Microsoft Excel may also be used - this requires use of SSC-Stat, our Excel add-in, which is freely available to course participants.
Who Should Attend?
Scientists and related who have had some previous training in, or exposure to, statistics but who now wish to understand basic statistical ideas more thoroughly.
How You Will Benefit
This course provides a practical review of statistical methods. There will be plenty of opportunity for discussion with course staff on appropriate methods of analysing data and help will be provided with interpreting results.
What Do We Cover?
Choice of Software
Practical work may be done in: Excel, Minitab, R, SAS, SPSS, Stata
Note: For practical work participants must bring their own laptop with a fully licensed version of their chosen software. If you intend to use Excel you will need to pre-install our add-in, SSC-Stat.
Follow-on Courses: Regression Models - A Hands-on Approach; Introduction to Analysis of Variance (ANOVA); Sample Size Determination using Excel; and What Sample Size Do I Need?