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Statistical Analysis of Laboratory Data |
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| Course Code: STAT |
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| Master the fundamentals of laboratory data treatment to solve data analysis problems. Through a combination of lectures and problem-solving sessions, this course will teach statistical techniques that can be put to immediate use in the workplace. Participants will learn how to understand the strengths and weaknesses of data, recognize and reduce different types of errors, carry out significance tests, correctly use outlier tests, and more. |
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Dates - TBA |
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Check-in opens at 7:30 a.m. on the first day of the course.
Course runs from 8:30 a.m. to 5:00 p.m. each day. |
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Event Location: |
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TBA |
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Early Registration: |
$1,795 |
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Advanced Registration: |
$1,895 |
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Standard Registration: |
$1,995 |
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The course fee includes a course binder and a continental breakfast each day.
Five for Four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. Note: This discount is only available if you register by fax or mail and mention this discount. May not be combined with any other offer. |
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- How to apply statistical process control charts to measurement processes.
- How to correctly use outlier tests and when not to use them.
- How to know what statistical test to use when.
- How to recognize and reduce different types of errors.
- How to set in-house specifications.
- How to understand the influence of sample size on statistical significance and power.
- How to understand the strengths and weaknesses of data.
- Ways to carry out significance tests.
- Ways to define the limits of detection, determination, and quantification.
- Why pooling variances gives stability to analytical results.
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| Stanley N. Deming is Professor Emeritus of Chemistry at the University of Houston, Houston, Texas. |
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| Stephen L. Morgan is Professor of Chemistry at the University of South Carolina, Columbia, South Carolina. |
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