Teaching statistical thinking might have just got easier

6 Aug

Over seventy years ago Samuel Wilkes, the then President of the American Statistical Association, wrote “Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write!”. (Interestingly he was paraphrasing the work of the the British writer HG Wells from 1903 !!). Given the welter of statistics that we are confronted with on a daily basis, it seem s perfectly reasonable to say that that day has arrived, and yet what I see of students entering undergraduate studies suggests that we have a long way to go in developing ‘efficient citizenship’.

My own discipline, psychology, requires students to have detailed knowledge of the statistics of null-hypothesis testing and yet in focusing on an understanding of t-tests, ANOVAs regression etc etc I suspect that more apparently ‘basic’ statistical ideas such as understanding distributions and sampling are often neglected. It has be to said that the fault does not entirely lay with those of us teaching in higher education institutions. Psychology students appear to arrive at university with an aversion to anything the looks like mathematics, that you have to assume is a product of the nature of pre-16 mathematics teaching.

Ive written before about using opinion polling problems as a route into teaching about sampling, but I’ve just come across a little book that seems like a perfect way of getting students to grasp ‘statistical thinking’.

‘How to lie with statistics’ by Darrell Huff is a tiny (124 pages) fifty year old book that contains a huge range of the type of examples that I like to use when teaching, and delivers them in a style that is accessible to modern-day students. It seems to me that this book would make an excellent basis for the first few weeks of any introductory statistics undergraduate course and ought to be compulsory reading to guarantee ‘efficient citizenship’.

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