Jarlath Quinn

A veteran of the predictive analytics industry working under the auspices of SAS, IBM and SPSS, Jarlath is pre-sales director at Smart Vision Europe. He is one of the most experienced SPSS trainers in the industry.

Jarlath Quinn

Finding normality – why is the normal distribution so important when we so rarely encounter it in real life?

This is the fourth post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of the normal distribution.  One of the first …

Finding normality – why is the normal distribution so important when we so rarely encounter it in real life? Read More »

mathematics computation

Are algorithms evil?

None of us can have failed to notice the recent debacle over Ofqual’s (the Office of Qualifications and Examinations Regulation) use of an algorithm to predict pupil grades. Once again, ‘algorithm fever’ has generated a flurry of news articles questioning whether we are sleepwalking into a dystopian future where human expert decision-making is replaced with …

Are algorithms evil? Read More »

Testing versus inferring

This is the second post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of testing versus inferring. One of most daunting …

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Just because something is statistically significant doesn’t mean it’s practically significant

This post is the first in a short series that we’re calling ‘eat your greens’ – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this first post we’ll look in more depth at the concept of statistical significance. …

Just because something is statistically significant doesn’t mean it’s practically significant Read More »

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