Pick & Mix: Classical Hypothesis Testing
Date:
04/06/2019
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:
Part of our “Essential Data Analysis” course, this pick and mix topic is about classical hypothesis testing, including t-tests, one-way ANOVA and chi-square.This course is aimed at those who need to compare and contrast groups 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. These topics will be demonstrated using Excel and SPSS.
This pick & mix topic is also available as part of our “Essential Data Analysis” course, alongside other pick & mix topics. Please note that by doing the combined course, you would be obtaining a discount on the fees for undertaking the individual pick & mix elements.
See our full range of courses (including our entire “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:
£175
Website and registration:
Region:
East of England
Keywords:
Parametric statistics, Non-parametric statistics, ANOVA, Excel, SPSS, Hypothesis testing
Related publications and presentations:
Parametric statistics
Non-parametric statistics
ANOVA
Excel
SPSS