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Quantitative Data Analysis 1: Hypothesis Testing, Sample Size & Power (In-person course) | QDA1-Hatfield | 2023/24
Business
Application Portal
Quantitative Data Analysis 1: Hypothesis Testing, Sample Size & Power (In-person course) | QDA1-Hatfield | 2023/24
Availability
At this time, no start dates are available during 2023/24

Description

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.

 

See our full range of courses (and options for bespoke courses) at https://go.herts.ac.uk/sscu or contact the course organiser, Professor Neil Spencer, at statistics@herts.ac.uk.

PreRequisites

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.

Assessment

There is no formal assessment as part of this course.

Venue
University of Hertfordshire, Hatfield, UK
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Course Leader
Name: Neil Spencer
Administrator
Tel: 01707 284800
Duration
One Day
Price

£199.00

If you are unable to pay by card and require an invoice, please email statistics@herts.ac.uk.

Learner Hours
7
Mode of Delivery
In-person
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