Welcome to Practical Stats


Statistical training and consulting for the environmental sciences and natural resources. From Singapore to South Dakota, our courses have enabled scientists to build better regression models, test for trends, see multivariate patterns, and correctly interpret nondetect (censored) data.

Our Mission
To train scientists in air, water, soil, and biological sciences to make sense of your data.
(pull out the information — the trees — from the fog)

Our Next Webinar!
— Topic to be Announced Soon
Jan 21, 2019 10 am Pacific, 1 pm Eastern.
Webinar Registration


Training Courses
We provide online on-demand courses in Environmental Statistics. See our Training Page for course details.

Webinars
To be notified of our free monthly webinars, sign up on our News page and we'll send you an opt-in link to receive notices. Recordings of past webinars are available on our Online Training Center.
See our Webinars Page for descriptions of available past webinars.


Experience
We've provided statistical training for the environmental sciences and natural resources since 1990 in the United States, Europe, Asia and the Middle East. See our credentials page. We clearly communicate information to the working scientist. We make statistics current, accurate, and practical.

Privacy Policy
This site stores no cookies on your device. It does not track you in any way.
There are no advertisements.
Graphs only display the graphic, with no hidden functions.
If you send us email using our Contact Us page, we will respond to your email, which requires us to save your email address. Your email address is never provided to any other party or person.
If you send us email requesting an answer, you may receive occasional emails from us announcing information on environmental statistics (no more than 3 per year, usually less). In your Contact Us email you may request that we do not add you to our occasional information list, and your email address will not be saved — but you will not get useful information from us on environmental statistics.


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