This blog post explores common misconceptions about p-values and highlights their role in statistical analysis.
A p -value is the probability of the observed, or more extreme, data, under the assumption that the null-hypothesis is true. The goal of this blog post is to understand what this means, and perhaps more importantly, what this doesn’t mean. People often misunderstand p -values, but with a little help and some dedicated effort, we should be able explain these misconceptions.
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Daniël Lakens (2017) studied this question.
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