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Use of Practical Statistics in Site Investigations and Risk Assessments (May 16 & 18th)
May 16 @ 9:00 AM - May 18 @ 9:00 AM UTC-8
Once we have completed the site investigation, we have to make sense of the data obtained. Dr. Dennis Helsel will guide you through practical approaches and tools for a statistical analysis of your data.
Following areas will be covered:
- Goal for statistical methods
- The mean and UCL95
- The geometric mean and the median
- The 90th and other percentiles
- One population or two?
- Weighting observations unequally
- Comparison of existing data to background concentrations
- Dealing with outliers
Dr. Dennis Helsel (PhD, Environmental Science and Engineering) has applied statistics to practical issues in environmental sciences for over 36 years. He is the principal of Practical Stats, an environmental statistics training and consulting firm. He has conducted courses in China, Germany, the Netherlands, Finland, Spain, Singapore, and throughout North America. His courses on environmental statistics are currently emerging online at http://practicalstats.com/training . He has authored two textbooks, “Statistical Methods in Water Resources”(2002, with a second edition coming in 2017), and “Statistical Methods for Censored Environmental Data using Minitab and R” (2012, previously titled Nondetects And Data Analysis), as well as 50+ journal articles.
Dr. Helsel was the 2003 recipient of the Distinguished Achievement Award from the American Statistical Association’s section on Statistics and the Environment for his training of scientists in applied, practical statistics.
Organized around 2 one-hour sessions:
- Session 1: May 16th (9-10 AM PST /12-1 PM EST); and
- Session 2: May 18th (9-10 AM PST /12-1 PM EST )
REGISTRATION FEE (for 2 one-hour sessions):
- Single Rate CAD$138 (One participant at one point of connection)
- Group Rate CAD$298 (Two or more participants at one point of connection)
If you are unable to attend the live sessions, register and the recordings will be made available to you for a four-week period.