 Methodological
Training in Statistical Data Mining,
March 28-30, 2012, Berne, Switzerland
Séminaire de
Méthodologie en Data Mining, 12-13 Juin 2012, Paris, France
Methodological
Training in Statistical Data Mining,
July 18-19, 2012, Milton Keynes, England
Methoden für statistisches
Data Mining, 4.-5. Dezember 2012, Hamburg, Deutschland
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What is Statistical Thinking?
`Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write.'
Herbert G. Wells
Statistical thinking is the philosophy of learning and action based
on the following fundamental principles:
- all work occurs in a system of interconnected
processes - a process being a chain of activities that
turns inputs into outputs;
- variation, which gives rise to uncertainty, exists in all processes; and
- understanding and reducing variation are keys to success.
All three principles work together to create the power of
statistical thinking.
The definition highlights several key components: process thinking;
understanding and
managing uncertainty; and using data
whenever possible to guide actions and improve decision-making.
Statistical thinking is a philosophy - a mind-set. It is an overall approach
to improvement and therefore more
broadly applicable than statistical methods. It is a way of thinking,
behaving, working, taking action and interacting with
others.
In addition, the process focus of statistical thinking provides the context
and the relevancy for broader and more effective use of statistical
methods.
Want to know more about statistics? Click
here.
Interested to apply and to use statistical thinking in your
organisation? Interested to get Statooed?
Contact us to allow us to help you
and to serve your needs.
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