About the course

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This course is aimed at those who need to compare and contrast groups and examine relationships within their data.

The topics covered in this course are one and two-sample hypothesis tests, one-way analysis of variance (ANOVA), non-parametric analyses, chi-square test of independence, measures of association between variables (e.g. phi, gamma, Cramer’s V, correlation), regression (including simple and multiple linear regression, dummy variables and model building). These topics will be demonstrated using Excel and SPSS.

Topics on this course are also available as part of our “Pick & Mix” range. Please note that by doing this course, you are obtaining a discount on the fees for undertaking the individual “Pick & Mix” elements.

See our full range of courses (including our “Pick & Mix” selection) at http://go.herts.ac.uk/sscu or contact the course organiser, Dr Neil Spencer, on 01707 285529, statistics@herts.ac.uk.

Why choose this course?

This course is about the classical methods of analysing data.

Entry requirements...

Prior knowledge of fundamental aspects of Statistics such as mean, standard deviation and confidence intervals is essential.



Start DateEnd DateDay and TimeCostLink
04/06/201905/06/2019Tuesday 4th June - Wednesday 5th June 2019£319Apply online

Course fees


Dates: Tuesday 4th June - Wednesday 5th June 2019