Comparing Groups

Statistical Services and Consultancy Unit

University of Hertfordshire, Hatfield

Contact: Neil Spencer (statistics@herts.ac.uk)

2nd November 2011, 7th March 2012

This course is also combined with our Relationships in Data course as our two-day Essential Data Analysis course. All courses take place on the University's state-of-the-art de Havilland campus.

 

Who is it for?


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. As well as being open to delegates from outside the University of Hertfordshire, this course also forms part of the training available to research students at the University along with our Getting Started with Stats and Relationships in Data courses.

What prior knowledge is assumed?


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.

What does the course cover?


The topics covered in the course are:

  • Excel
  • SPSS
  • one-sample hypothesis tests
  • two-sample hypothesis tests
  • one-way analysis of variance (ANOVA)
  • non-parametric analyses
  • chi-square test of independence

Course fee: £300 (£250 excl VAT) including teas/coffees and lunch

Discounts are available for those attending more than one course (such as the preceding Getting Started with Stats or follow on Relationships in Data), research students, those on limited incomes and University staff and students.

Please see below for a draft programme and click here to see how to apply (and details of fees/discounts). For enquiries, please phone 01707 285574 or e-mail statistics@herts.ac.uk.

Please click for details of accommodation available and maps/travel information.

Draft Programme


10:00 Registration and tea/coffee 

10:15 Domestic announcements and introductions

10:20 One and two-sample hypothesis tests, one-way analysis of variance (ANOVA)

11:30 Non-parametric hypothesis tests

12:00 Chi-square test of independence

12:30 Lunch

13:30 Hypothesis tests in Excel and SPSS

15:00 Tea/Coffee

15:15 One-way analysis of variance (ANOVA) and chi-square test of independence in Excel and SPSS

17:00 End of day


Please note that this programme is intended as a guide only and may be subject to change.