As part of history of statistics, most of the founding fathers of both applied and theoretical statistics, did not possess any degrees in statistics (there weren't any). For example:
1. RA Fisher- Mathematics and biology
2 Karl (Carl) Pearson- Mathematics and physics
3. PC Mahalanobis- Physics
4. Oscar Kempthorn- Genetics and philosophy of science
5. RC Bose- Mathematics
6. SN Roy- Mathematics and theory of relativity
7. John Tukey- Chemistry and mathematics
8, WG Cochran- Mathematics
9. George Snedecor- Mathematics, physics, and Greek
All these people had solid background in calculus, matrix theory, etc.
They all taught themselves probability and mathematical statistics. Their backgrounds in physics, chemistry, genetics, and other biological fields drove them into research and development of applied and bio- statistics (not "SAS Statistics!".
Ajit K. Thakur, Ph.D.
Retired Statistician
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Ajit Thakur
Associate Director
Original Message:
Sent: 01-28-2016 04:34
From: Michael Posner
Subject: Is it needed?
This is a good question. In my sense, this is one of the reasons why the PStat Accreditation was created. There have been many discussions about why you would need a PStat with a PhD in Stat/Biostat. To me, the answer is you don't - the reason why the PStat program is useful is exactly for people who do not have a degree in statistics, but have some experience working with statistics and want their experience to be recognized. If you do not have a statistics degree, I encourage you to look into accreditation. For more details, see Accreditation
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Accreditation |
Welcome to the ASA accreditation web page. The ASA now offers two levels of accreditation: Accredited Professional Statistician (PStat ®) and Graduate Statistician (GStat). GStat is an entry level of accreditation, preparatory for full PStat ® accreditation. To apply for either level accreditation, log in to ASA members only, and click on the PStat/GStat button to begin the process. |
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Michael
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Michael Posner
Associate Professor of Statistics
Director, Center for Statistics Education
Villanova University