close

Sign up for Clearing VIP Access

Skip the queues on results day with priority access, have a 1-2-1 call with a Clearing advisor and access finance and funding facts with our tailored emails and a reserved spot at our Clearing Online Open Day.

close

Get info and updates

close

Sign up for updates

Interested in studying at the University of Hertfordshire and want to sign up to our mailing list to learn more about our facilities, living in the UK and student life? Use the form below and our team will also keep you informed of key updates such as events near you, applications opening and more!

Comparing Groups

About the course

This course is about classical hypothesis testing, including t-tests, one-way ANOVA and chi-square.

This course is aimed at all who have groups in their data that need to be compared and contrasted, whether the data comes from a survey, experiment or elsewhere.

The topics covered are one-sample hypothesis tests, two-sample hypothesis tests, one-way analysis of variance (ANOVA), non-parametric analyses and chi-square test of independence. These topics will be demonstrated using Excel and SPSS.

It is assumed that delegates on this course will have knowledge of probability and the Normal distribution. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.

See our full range of courses or contact the course organiser, Prof Neil Spencer, at statistics@herts.ac.uk.

Course fees

Dates can be organised if an organisation have a group of people wanting to take this course.

£TBA