EnviroStat, Inc. provides
training and consulting for a variety of industries and media.
EnviroStat’s expertise includes primary sampling, laboratory subsampling, quality control, data analysis, and data quality objectives. This training enables users to make cost effective and defensible decisions from sample data. EnviroStat provides training to public and private organizations around the world.
Why You Need It
Sampling error can be the largest source of error in any assessment. If the error is too large, incorrect characterization can result because the samples are not representative. The best designed sampling plan is of little use if the samples are not properly collected. That’s why you need an understanding of correct sampling principles and an ability to correctly apply them to your assessment.
EnviroStat offers open enrollment courses and provides customized in-house training to meet specific needs.
“Once people start thinking about the source of errors in traditional sampling and applying some thought, they realize the logic behind your MULTI INCREMENT sampling approach. The improvements it makes in the data quality are not that hard to achieve; they just need to throw off a few dogmatic methods.”
“I look back on the course you gave and wonder why it is not a regulatory requirement for all environmental samplers.”
“I really enjoyed the course and I have finally come to terms with the importance of good sampling.”
“Instructor was very knowledgeable and experienced. Drew on experience to illustrate concepts. Has good knack for drawing out comments, discussion from group. Effectively caused people to reexamine their concepts about sampling. Great course.”
“This was probably one of the best technical courses I’ve taken. Very practical information to apply to real world problems.”
“This was by far the best company provided training I have ever received. I would and will recommend this course, and instructor, to all those whose jobs are applicable. Once again, excellent course.”
“It is a good course for technical as well as non-technical folks.”
“I believe this course should be mandatory for anyone associated with any sampling activity!”
“Instructor has valuable first hand experience in the subject matter.”
“The major strength of the course is a logical reason for the methodology.”
“This was the best course out of 40 or 50 technical courses I have taken.”
“Chuck is a dynamic and energetic instructor who knows how to relate to and inspire the student. He has a talent for fostering thought and changing the mind set in order to expand the student’s ability to solve problems. This class was very enjoyable and will be used immediately because of my new knowledge set.”
“Great course! Useful information! I came to the course reluctantly because four days was a large investment. The information and presentation overcame my reluctance.”
Did You Know?
- That poor sampling
- underestimates the mean
- artificially increases the variability
- generates outliers
- increases the number of samples required
- That concentration is sample size dependent
- That random location alone is not enough to eliminate sampling bias
- The difference between a composite and MULTI INCREMENT® sample
- The seven major sampling errors
- That sampling error can be controlled
- The two types of heterogeneity and how they impact sampling error
- How to calculate sampling error
- How to make your sampling defensible
- Why replicate analyses do not agree – it may not be the lab
- How to minimize sampling costs
- How to properly collect a MULTI INCREMENT® sample