Comparing Groups
Date:
24/02/2016
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 classical hypothesis testing, including t-tests, one-way ANOVA and chi-square.This course is aimed at all who have groups in their data that need to be compared and contrasted, whether the data comes from a survey, experiment or elsewhere.
The topics covered are one-sample hypothesis tests, two-sample hypothesis tests, one-way analysis of variance (ANOVA), non-parametric analyses and chi-square test of independence. These topics will be demonstrated using Excel and SPSS.
It is assumed that delegates on this course will have knowledge of probability and the Normal distribution, perhaps through our “Getting Started with Stats” course. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.
If you are interested in this course you may also be interested in the earlier “Getting Started with Stats” course and/or the follow-on “Relationships in Data” course.
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
It is assumed that delegates on this course will have priorknowledge of probability and the Normal distribution, perhaps through our “Getting Started with Stats” course. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.
Cost:
£250
Website and registration:
Region:
East of England
Keywords:
Exploratory Research, Survey Research, Secondary Analysis, Mixed Methods, Hypothesis testing research, Survey and Questionnaire Design, Quantitative Data Handling and Data Analysis, Quantitative Approaches (other), Mixed Methods Data Handling and Data Analysis, Mixed Methods Approaches (other), Quantitative Software
Related publications and presentations:
Exploratory Research
Survey Research
Secondary Analysis
Mixed Methods
Hypothesis testing research
Survey and Questionnaire Design
Quantitative Data Handling and Data Analysis
Quantitative Approaches (other)
Mixed Methods Data Handling and Data Analysis
Mixed Methods Approaches (other)
Quantitative Software