In Person

Statistical Analysis of Laboratory Data

Learn statistical techniques you can put to immediate use in the workplace.

Boston, MA
Oct 07 - Oct 09, 2019
Prices start at
Registration Info

About the Course

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.

  • How to apply statistical process control charts to measurement processes.
  • How to know what statistical test to use when.
  • How to set in-house specifications.
  • How to understand the influence of sample size on statistical significance and power.
  • Ways to define the limits of detection, determination, and quantification.
  • Why pooling variances gives stability to analytical results.

Special Notes:

Each participant should bring a hand-held calculator to the course.

What You Will Learn

  • Consult with seasoned experts about your data analysis problems.
  • Enhance your ability to extract more meaningful data from your data sets.
  • Gain confidence in the use of basic statistical methods.
  • Improve your decision-making abilities.
  • Learn new ways to look at data.
  • Reduce the number of measurements required for certain applications.
  • Understand statistical terminology and be able to communicate more easily with statisticians.

Who Should Attend

Technicians, scientists, engineers, laboratory managers, R&D managers, manufacturing and production managers, and others who need to understand traditional and modern methods of data analysis.

This course assumes no previous knowledge of statistics and is aimed at both beginning and experienced workers.

Course Outline

  • Day 1

    • Measurement
    • Accuracy and Precision
    • Mean
    • Standard Deviation
    • Pooling
    • z Decisions
    • Confidence Intervals
    • Statistical Samples
    • Means
  • Day 2

    • One-Way ANOVA
    • How to Carry Out a One-Way ANOVA
    • Outliers
    • Central Limit Theorem
    • Standard Deviations
    • Student’s t
    • Statistical Testing
    • p Values and Power
    • Algebra and Logic
    • Hypothesis Testing
  • Day 3

    • Formal Statistical Tests
    • One-Sample t Test
    • Two-Sample t Test
    • Paired T Test
    • Fisher’s F Test
    • Duncan’s Multiple Range Test
    • Optional Topics: Detection Limits; Statistical Process Control; Bioassays

Dates, Locations, and Prices

In Person

Oct 07 - Oct 09, 2019

Metro Meeting Centers
101 Federal Street, 4th Floor
Boston, MA 02110

Early Bird Member $2095 Non-Member $2295
Standard $2295 $2495
Become a member during registration
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Course Times: 8:30 AM - 5:00 PM; Check-in starts at 7:45 AM on the first day of the course. Course fee includes a course manual and continental breakfast each day. *Early Bird pricing ends four (4) weeks before the start date of the course.

To complete your registration, you will be asked to log in using your ACS ID. If you are not already logged in, you may enter your credentials or create an ID from the next screen.

Log in or Register Now

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. The free registration will be the course of the lowest price. Please note: This discount is only available if you register by fax, phone, or mail and mention this discount and it cannot be combined with any other offer.

About the Instructor(s)

Stanley N. Deming

President, Statistical Designs

Stanley Deming is Professor Emeritus at the University of Houston, Texas. He is President of Statistical Designs, through which he offers consulting in experimental design, optimization, and statistical analysis.

Stephen L. Morgan

Professor, University of South Carolina

Stephen L. Morgan is a Professor of Chemistry at the University of South Carolina. His research involves chemometrics and statistics, forensic analytical chemistry, spectroscopy and separations.

Boston, MA
Oct 07 - Oct 09, 2019
Prices start at
Registration Info