Intermediate/Refresher Course in Statistics

Date:

27/06/2017 - 29/06/2017

Organised by:

University of Hertfordshire

Presenter:

Dr Neil H. Spencer

Level:

Intermediate (some prior knowledge)

Contact:

Dr Neil Spencer
01707 285529
statistics@herts.ac.uk

Map:

View in Google Maps  (AL10 9EU)

Venue:

de Havilland campus,
University of Hertfordshire,
Hatfield,
Herts.

Description:

This course is about a range of popular statistical techniques. It can be a refresher for those who have learned Statistics some time ago or intermediate course for those who need to learn statistical techniques in a way that goes beyond the basics.This course is aimed at those who wish to improve their competence and confidence in analysing data from surveys and experiments. You are encouraged to bring your own data for discussion/analysis.

The topics covered in this course are hypothesis testing (as a refresher), regression (as a refresher), measures of association between variables (e.g. phi, gamma, Cramer’s V, correlation), two and multi-way analysis of variance (ANOVA) including interactions, power calculations for sample size determination. These topics will be demonstrated using SPSS.

Topics on this course are also available as part of our “Pick & Mix” range. Please note that by doing this course, you are obtaining a discount on the fees for undertaking the individual “Pick & Mix” elements.

See our full range of courses (including our “Pick & Mix” selection) at http://go.herts.ac.uk/sscu or contact the course organiser, Dr Neil Spencer, on 01707 285529, statistics@herts.ac.uk.

Prior knowledge of fundamental aspects of Statistics such as mean, standard deviation and confidence intervals is essential along with previous exposure to hypothesis testing and regression (although these latter two topics will be reviewed in the refresher part of the course).

Cost:

£480

Website and registration:

Region:

East of England

Keywords:

Hypothesis testing research, Survey and Questionnaire Design, Parametric statistics, Non-parametric statistics, Ordinary least squares (OLS), ANOVA, Linear regression, Quantitative Software, Excel, SPSS

Related publications and presentations:

Hypothesis testing research
Survey and Questionnaire Design
Parametric statistics
Non-parametric statistics
Ordinary least squares (OLS)
ANOVA
Linear regression
Quantitative Software
Excel
SPSS

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