Essential Data Analysis
Date:
13/06/2018 - 14/06/2018
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 the classical methods of analysing data.This course is aimed at those who need to compare and contrast groups and examine relationships within their data.
The topics covered in this course are one and two-sample hypothesis tests, one-way analysis of variance (ANOVA), non-parametric analyses, chi-square test of independence, measures of association between variables (e.g. phi, gamma, Cramer’s V, correlation), regression (including simple and multiple linear regression, dummy variables and model building). These topics will be demonstrated using Excel and 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.
Cost:
£319
Website and registration:
Region:
East of England
Keywords:
Hypothesis testing research, Correlation, Power analysis, Parametric statistics, Non-parametric statistics, Ordinary least squares (OLS), ANOVA, Linear regression, Quantitative Software
Related publications and presentations:
Hypothesis testing research
Correlation
Power analysis
Parametric statistics
Non-parametric statistics
Ordinary least squares (OLS)
ANOVA
Linear regression