You will be introduced to some of the basic fundamental statistical concepts that can help you in your job during this two-day course designed to benefit public health professionals, regulators, and engineers involved in collecting, analyzing, and interpreting environmental monitoring data.
The basics to be covered include:
False positive and negative rates
Experimentwise error rates
Tests of normality.
More advanced statistical methods to be discussed include:
Construction of lognormal and gamma prediction and tolerance intervals
Trend analysis and strategies for assessment
Corrective monitoring relevant for environmental monitoring.
In addition, you’ll be introduced to problems associated with some commonly and frequently used statistical methods such as the:
Original errors in the RCRA regulation based on Cochran’s approximation to the Behrens-Fisher t-statistic
Newer regulations that continue to advocate use of parametric and nonparametric analysis of variance for both hazardous and municipal solid waste facilities.
Upon completion of this course, you will be able to:
Identify problems inherent to environmental monitoring data
Verify distributional assumptions, conduct hypothesis testing, and construct confidence intervals
Construct prediction and tolerance intervals for groundwater monitoring data
Apply statistical methods for assessment and corrective action monitoring
Avoid common mistakes and methods in groundwater monitoring applications.
Who should attend?
Epidemiologists and biostatisticians
Researchers in environmental science.
Though not a course requirement, Statistical Methods for Groundwater Monitoring, second edition, is a recommended reading and reference resource for this course.
|Date||December 7-8, 2017|
|Instructors||Dulal K. Bhaumik, Ph.D., and Subhash Aryal, Ph.D.|
|Level||Introductory to intermediate|
|Member price||On/before Nov 3 — $895
Starting Nov 4 — $995
|Nonmember price||On/before Nov 3 — $1045
Starting Nov 4 — $1145
Full-time students can save 15%.
Use code STU-174Dec17.
In order to receive this discount, you need to register by phone, or enter the code on the print form and return it to us by fax or mail.