Comparing Groups (Online)
Date:
11/03/2021
Organised by:
University of Hertfordshire
Presenter:
Prof Neil H. Spencer
Level:
Intermediate (some prior knowledge)
Contact:
Prof Neil Spencer
01707 285529
statistics@herts.ac.uk
Venue: Online
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 our "Survey Design and Analysis" course, the earlier “Getting Started with Stats” course and/or the follow-on “Relationships in Data” course.
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.
See our full range of courses at http://go.herts.ac.uk/sscu or contact the course organiser, Prof Neil Spencer, on 01707 285529, statistics@herts.ac.uk.
Cost:
£199
Website and registration:
Region:
East of England
Keywords:
Parametric statistics, Non-parametric statistics, ANOVA, Quantitative Software, Excel, SPSS
Related publications and presentations:
Parametric statistics
Non-parametric statistics
ANOVA
Quantitative Software
Excel
SPSS