Quantitative Data Analysis 1: Hypothesis Testing, Sample Size & Power (In-person course)
University of Hertfordshire
Prof Neil H. Spencer
Intermediate (some prior knowledge)
Prof. Neil Spencer
View in Google Maps (AL10 9EU)
de Havilland campus,
University of Hertfordshire,
This one-day course is the first in the "Quantitative Data Analysis" stream and is aimed at those who need to learn about analysing data collected from experiments and similar studies using hypothesis testing, and the relationship between sample size and the power of statistical tests. If you are not sure whether this stream or our "Survey Design & Analysis" stream is most appropriate for your work, you are encouraged to attend the Getting Started with Statistics course first, either in-person or online.
The methods covered include one-sample hypothesis tests, two-sample hypothesis tests, one-way analysis of variance (ANOVA) and non-parametric analyses. These topics will be demonstrated using Excel and SPSS. The course will also explore sample size issues including the relationship between power and effect size, making use of the G*Power software.
If you are interested in this course you may also be interested in our Quantitative Data Analysis 2: Correlation & Regression Methods course.
It is assumed that delegates have attended the Getting Started with Statistics course or already have a good knowledge of the material in that course.
Website and registration:
East of England
Descriptive Statistics, Statistical Theory and Methods of Inference, Power analysis, Excel, SPSS, G*Power software
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