 Managing
Uncertainty to Improve Decision Making: Statistical Thinking for
Managers
Utilisation des plans d'expériences,
10-12 Septembre 2008, Yverdon-les-Bains, Suisse
Methodological
Training in Statistical Data Mining,
September 15-17, 2008, Baden, Switzerland
Methodological
Training in Statistical Data Mining Related to Drug Development,
October 13-15, 2008, Basel, Switzerland
Séminaire de
méthodologie en data mining statistique, 5-6 Novembre 2008, Paris, France
Einführung
in Methoden für statistisches
Data Mining, 25.-26. November, 2008, 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 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 above highlights three key components: process thinking,
understanding uncertainty, and
managing uncertainty to 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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