Statistical Methods for Business, Medicine and Social Science

Course details

From £176.50

Sat 08 Jun 2019 - Sun 09 Jun 2019

Statistical Methods for Business, Medicine and Social Science


A solid grounding in statistical methods used in a wide variety of disciplines including the social and natural sciences, business studies, economics and engineering. The emphasis is on conceptual understanding (not a programming course).


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)


Tuition (includes tea/coffee): £176.50
Baguette lunch (both days): £9.80


Dr Vas Pavlika


Dr Vasos Pavlika is a Teaching Fellow at UCL 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.