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.
Read MoreEcologists have been measuring the biodiversity of ecosystems for millennia. In recent decades, they have taken ideas from physics and information theory to reduce their huge tables of data to simple metrics that are not only easy to understand and compare, but that also accurately measure diversity as a concept. These same principles can be applied to the workplace.
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