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Introduction to Statistical Methods for Environmental Monitoring (#174)

Denver, Colorado • August 6-7, 2012

presented by Dulal K. Bhaumik, Ph.D., and Subhash Aryal, Ph.D.

Course description

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 to 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.

Course objectives

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?

Engineers
Governmental regulators
Epidemiologists and biostatisticians
Researchers in environmental science.

Education level

Introductory to intermediate; though not a course requirement, Statistical Methods for Groundwater Monitoring, second edition, is a recommended reading and reference resource for this course.

NGWA awards continuing education credits

This course is worth 1.5 CEUs.

Content Editor ‭[3]‬

Day 1
7:30 a.m.	Registration
8:00 a.m.	Introduction to groundwater monitoring data
10:00 a.m.	Break
10:15 a.m.	Introduction to some fundamental statistical concepts relevant to groundwater monitoring Type I error rate/type II error rate Multiple comparison problem Confidence interval
12:00 p.m.	Lunch (on your own)
1:00 p.m.	Introduction to some fundamental statistical concepts relevant to groundwater monitoring (continued) Prediction interval Tolerance interval Test of normality
2:45 p.m.	Break
3:00 p.m.	Construction of prediction intervals Normal prediction interval Nonparametric prediction interval Lognormal and Poisson prediction interval Gamma prediction interval
5:00 p.m.	Course adjourns for the day
Day 2
8:00 a.m.	Tolerance interval Normal Poisson Gamma Nonparametric
10:00 a.m.	Break
10:15 a.m.	Trend analysis Sen test Mann-Kendall test Seasonal-Kendall test
12:00 p.m.	Lunch (on your own)
1:00 p.m.	Assessment and corrective action monitoring Strategy LCL or UCL? Normal confidence limits for the mean Lognormal confidence limits for the median Nonparametric confidence limits for the median
3:00 p.m.	Break
3:15 p.m.	Methods to be avoided
5:00 p.m.	Course adjourns

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Content Editor ‭[2]‬

NGWA member — $950

Nonmember — $1,100

Click here to register.

Content Editor ‭[1]‬

Hampton Inn & Suites Denver — Downtown

1845 Sherman Street

Denver, Colorado 80203

303 864.8000

fax 303 864.8199

Accommodations: NGWA has secured a limited block of rooms on a first come, first served basis at the group rate of $149 per night for a king room. This rate applies to the NGWA room block and is valid until the July 5, 2012 cutoff date, unless our block has been filled before then. When making your reservations, be sure to mention you are attending this NGWA short course. Remember, you are responsible for securing your own reservations. For guest check-in and checkout times, please contact the hotel directly.

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National Ground Water Association
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USA
800 551.7379
(614 898.7791 outside the US)
fax 614 898.7786
ngwa@ngwa.org