What is the difference between effect size and statistical significance?
An example of an AI chatbot conversation about effect size and statistical significance.
What is the difference between effect size and statistical significance?
Effect size measures the magnitude of a phenomenon, while statistical significance indicates whether an effect exists.
Can you give me an example of effect size?
Sure! In a study comparing two groups, an effect size of 0.5 indicates a medium effect, meaning the groups differ moderately.
How do I interpret a p-value in relation to effect size?
A p-value tells you if an effect is statistically significant, but effect size shows how large that effect is in practical terms.
Why is effect size important in research?
Effect size helps researchers understand the practical significance of their findings, beyond just statistical significance.
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