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Quick Introduction to Statistical Testing
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Introduction to Statistical Testing
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Parametric Tests - Comparing Means
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Correlation
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Non-Parametric Tests
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Statistical Testing Quiz
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Downloads for Quick Introduction to Statistical Testing
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Quick Introduction to Statistical Testing
A conceptual overview of the most commonly used statistical tests. Covers significance testing, p-values, Type I and II errors, parametric tests (t-tests, ANOVA, correlation, regression), and their non-parametric equivalents.
By Lyn Lavery
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Course Description
Quick Introduction to Statistical Testing
If a t-test sounds like something you’d do to test the strength of your cuppa and you don’t know your ANOVA from your correlation, then this is the perfect session for you! We’ll cover some of the basic principles of statistical testing and provide a quick overview of some of the commonly used tests, including t-tests, ANOVA, correlation, regression, and non-parametric statistics.
This session is aimed at those new to quantitative analysis – Statistics for Beginners (or equivalent knowledge) is a prerequisite.
Course Outline
Approximate length: 53 minutes