Background
Statistical techniques are powerful tools in the analytical
laboratory. This course covers the statistical techniques that
are routinely useful in the
analytical laboratory. The mathematics involved will be presented in a concise
manner which is easily understood by anyone with a background in science.
Basic principles will be discussed in the context of analytical laboratory
applications.
What You Will Learn
Understand how to apply the simple statistical analyses which can
guide experimentation, identify sources of experimental error, and minimize
lengthy calculations. Learn how these techniques can make your
laboratory more efficient and improve the accuracy of data collection
and analysis.
Who Should Attend
Anyone responsible for the supervision, operation, or management
of an analytical laboratory. Anyone working in an analytical
laboratory.
Topics
| • | Precision and accuracy of calculations |
| • | Data reduction and evaluation |
| • | Calibration curves |
| • | Relationships among variables |
| • | Data comparison techniques |
| • | Basic experimental design |
Instructor
Dr. Zanaida Otero-Keil is Associate Professor of
Chemical Engineering at Rowan College of New Jersey and is also an
experienced engineering consultant. Dr. Otero-Keil's research
focuses on optimization, development, and mathematical modeling of
chemical processes and laboratory techniques. She is widely
recognized for her ability to teach these topics in a clear,
understandable way, and with down-to-earth practicality. She
received her Ph.D. in Chemical Engineering from the University
of Delaware and is a registered Professional Engineer in Delaware.
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