Statistical Methods for Business, Medicine and Social Science

Course details

From £182.00

Sat 06 Jun 2020 - Sun 07 Jun 2020
08.45 - 17.00

Statistical Methods for Business, Medicine and Social Science


Learn how to apply statistics in a weekend, as we explore the basic statistical methods used in various fields such as business studies, economics, politics, psychology and medicine.

Programme details


8.45am Registration

9.00am Introducton and descriptive statistics

10.30am Coffee/tea

11.00am More on descriptive statistics, frequencies

12.30pm Break / Lunch

1.30pm Normal and other distributions, standard score

3.00pm Tea/coffee

3.30pm Hypothesis testing - introduction, including significance and type 1 and 2 errors

5.00pm Day One ends


9.00am Specific hypothesis tests - the day includes t test, chi test

10.30am Coffee/tea

11.00am Specific hypothesis tests continued

12.30pm Break / Lunch

1.30pm Specific hypothesis tests continued

3.00pm Tea/coffee

3.30pm Correlation and regression

5.00pm Course disperses

Recommended reading

Hinton, P.R. Statistics Explained: A guide for Social Science Students (Routledge, 2011 or alternatively the 2004 edition).

Groebner, D.F. and Shannon, P.W. Business Statistics: A Decision Making Appraoch (various editions available)

Wonnacott, T.H. and Wonnacott, R.J. Introductory Statistics for Business and Economics (Wiley, 1990)

Attwood, G., Dyer, G. and Skipworth, G. Statistics 1, 2, 3 (Heinemann, Edexcel 2000)


Accommodation is not included in the price, but depending on availability, it may be possible to stay at Rewley House on Friday and / or Saturday night.  Please contact our Residential Centre on +44 (0) 1865 270362 or email for details of availability and discounted prices.

Accommodation in Rewley House - all bedrooms are modern, comfortably furnished and each room has tea and coffee making facilities, Freeview television, and Free WiFi and private bath or shower rooms.


Tuition (includes coffee/tea): £182.00
Baguette lunch (both days): £10.00


If you are in receipt of a state benefit you may be eligible for a reduction of 50% of tuition fees.

If you do not qualify for the concessionary fee but are experiencing financial hardship, you may still be eligible for financial assistance.

Concessionary fees for short courses


Dr Cezar Ionescu

Director of Studies

Dr Cezar Ionescu is Associate Professor of Data Science with the  Oxford University Department for Continuing Education.  His main interests include functional programming, correctness of scientific computing and machine learning algorithms,  and the role of computing science in education.

Dr Vas Pavlika


Dr Vasos Pavlika is Principal Teaching Fellow at University College London and Saturday School lecturer at the LSE. He has been a lecturer in the Department for Continuing Education, Oxford for several years. Vasos also teaches at the Institute of Continuing Education, Cambridge.


Please use the 'Book' or 'Apply' button on this page. Alternatively, please contact us to obtain an application form.