Intermediate Statistics for Laboratory Professionals (EMU 200)
This course reviews concepts of random processes, distributions, and statistical estimation. Participants will learn basic concepts of statistical testing, methods of testing means and variances, and review examples where this would be used in the laboratory. Participants will learn basics of regression and apply them to calibration and testing results to demonstrate linearity. All topics are tied together by considering estimation of limits of detection (LOD) and limits of quantitation (LOQ).
Basic Statistics for Laboratory Professionals (EMU 100) or equivalent knowledge.
The participant will need to bring a laptop computer (PC or MAC) with Microsoft Excel or similar spreadsheet installed. Please note that the tablet and smart phone versions of Excel and other spreadsheets do not have the full functionality of the PC versions and the participant may not be able to utilize all the power of the spreadsheet covered during the training.
Target learners include Laboratory Managers, Engineers, Scientists, or Technicians.
After successful completion of the course, the participant will be able to:
- Identify null and alternative hypothesis;
- Construct a hypothesis test for mean vs fixed value, comparing 2 means, comparing 2 variances and interpret results;
- Create a scatterplot and visually determine a potential relationship between 2 variables;
- Determine and interpret the slope and intercept for a given linear regression equation;
- Evaluate the variance vs. concentration relationship for calibration data;
- Use regression analysis to test for multiplicative and additive bias; and
- Understand the concepts for determining LOD and LOQ using regression-based techniques
1.4 CEUs Awarded*
*American Association for Laboratory Accreditation (A2LA) is accredited by the International Association for Continuing Education and Training (IACET) and is authorized to issue the IACET CEU.
April 8, 2020 – April 9, 2020
5202 Presidents Ct.
Frederick, MD 21703
8:00 AM – 5:00 PM