Essential Data Analysis

Statistical Services and Consultancy Unit

University of Hertfordshire, Hatfield

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

 

Wednesday 20th – Thursday 21st June 2012

This course combines our two one-day courses Comparing Groups and Relationships in Data. All courses take place on the University's state-of-the-art de Havilland campus.

Who is it for?


This course is aimed at those who need to learn about the classical methods of analysing data.

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. Delegates who have been on our courses Getting Started with Stats or Starter Course in Statistics should have appropriate prior knowledge.

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
  • correlation
  • simple linear regression
  • multiple regression

Course fee: £460 (£383.33 excl VAT) including teas/coffees, and lunch

Discounts are available for those attending more than one course (such as the follow-on Intermediate/Refresher Course in Statistics and Higher Course in Statistics), research students, those on limited incomes and University of Hertfordshire 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

 

Day One

10:00 Registration and tea/coffee (room M116)

10:30 Domestic announcements and introductions

10:45 One-sample hypothesis tests

12:00 One-sample hypothesis tests in SPSS and Excel

13:00 Lunch

13:45 Two-sample hypothesis tests

14:30 Two-sample hypothesis tests in SPSS and Excel

15:15 Tea/Coffee

15:30 One-way analysis of variance

16:15 One-way analysis of variance in SPSS and Excel

17:00 End of day

Day Two

09:30 Non-parametric tests

10:15 Non-parametric tests in SPSS and Excel

11:00 Tea/Coffee

11:15 Chi-square test of independence

12:00 Chi-square test of independence in SPSS and Excel

12:45 Lunch

13:30 Linear regression

14:15 Linear regression in SPSS and Excel

15:00 Tea/Coffee

15:15 Introduction to multiple regression

16:00 Introduction to multiple regression in SPSS and Excel

16:45 End of day


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