In this blog, we consider what significance is, explaining what it means for something to be statistically or practically significant. We also explore the distinction between the Bayesian and Frequentist approach to statistics, looking back at their origins before sharing how we use statistics to empower recruiters. For instance, frequentists think that probabilities represent long-running averages, whereas, Bayesians think that probabilities represent our level of certainty in a statement. This slightly arcane-sounding distinction can lead to vastly different maths and therefore different conclusions.

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