This is to draw your attention to three courses taking place at the Statistical Services Centre, The University of Reading later this month. For more details contact Kellie Watkins (email [log in to unmask]) or view our website on http://www.reading.ac.uk/ssc/
A Review of Basic Statistics 23-24 April, £410
This course is for those who may have had previous training in statistics but who now wish to understand basic statistical ideas more thoroughly. It provides an introduction to methods of summarising and presenting data, estimation, confidence intervals and hypothesis testing. Mathematical details will be kept to a minimum.
A large component of the course is practical work on PCs using accessible and user-friendly statistics packages such as MINITAB, SPSS, and SAS.
Introduction to Regression Analysis 25 April, £220
This course is for those who need to be conversant with the concepts of regression and the process of choosing a model. Regression is a powerful technique for studying relationships between quantitative variables. Summarising relationships by the most appropriate equation (modelling) is very quick when using a statistical package. It is also easy to progress from basic models to more complex situations.
The course is a combination of lectures and computer based practicals, whereby theory is firmly placed into practice. Participants will be given a choice of packages from SAS, SPSS, Genstat and MINITAB.
Dealing with Qualitative Responses: A Course for Scientists 26 - 27 April, £410
This course is for scientists and technologists who already have some statistical training but whose knowledge is lacking in the area of statistical methods specifically for binary and categorical data.
Statistics courses often deal with data that are measured on a continuous scale such as plant height, wind speed, petrol consumption. Many investigations often have data where there are only two, or a few, possible categories of response - for example a product may be accepted or rejected after inspection, a crop may or may not become infested with pests, a patient's symptoms can be classified as none, mild, moderate or severe. This course will explain statistical techniques for studying associations between outcomes like these and possible explanatory factors.
A large component of the course will be PC based practical work based on packages such as MINITAB, SPSS and SAS.
Kellie Watkins
Statistical Services Centre
The University of Reading
Harry Pitt Building
Whiteknights Road
Reading RG6 6FN
Tel: +44 (0)118 931 8689
Fax: +44 (0)118 975 3169
http://www.reading.ac.uk/ssc/
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