Category: statistics

Poor ‘mean’…, just because is ‘average’

Recently I had my private nightmare trying to explain…, well, better defend our poor ‘average’; it is most probably the most used and abused statistical measure, and is not always well employed. For starters, the biggest confussion between it and

Hit Predictor

Yesterday I was talking to my friend and colleague Pau Rausell-Köster, from the Research Unit in Cultural Economics (Universitat de València), about the Netflix Prize. We were discussing about the foundations of taste and preferences, and how it was quite


Time and again I’m thinking of the errors people commit; yes, commit, not make, I explain you the reason for my assertion. In statistics, when we have a declared statement (“null hypothesis” we say) we have two options, haven’t we?: