Upon the successful completion of this course, the participants will have an understanding of:

• Concepts involved in the calculation of measurement uncertainty.
• Calculating measurement uncertainty in a practical and pragmatic manner.
• Defining measurement processes.
• Identifying sources of measurement error.
• Selecting appropriate error distributions.
• Using different methods to evaluate measurement uncertainty.
• Measurement uncertainty by practice methods.

The course is designed for chemists, lab technicians, chemical engineers, instrument engineers and lab supervisors/managers.

This interactive Training will be highly interactive, with opportunities to advance your opinions and ideas and will include;

• Lectures
• Workshop & Work Presentation
• Case Studies and Practical Exercise
• Videos and General Discussions

Module One:

• Introduction
• History & Review
• Chemical Measurement
o Types of methods
o Selection of methods
o Chemical measurement evolution
o Compare duplicate samples results
o Reputability, Reducibility and mean of replicate
o Evaluation of analytical data measurement
o Prerequisites for analytical method validation
• Method Calibration, and Standardization
• Correction of errors and improving Blank

Module Two:

• Calibration Instruments and Measurement methods
o Certificate Reference Material (CRM), choice and preparation
o Degrees of Freedom
o Linearity and Residual analysis in regression
o Blank Correction
o Instruments Calibration and Traceability
o Calibration Procedures, Certificate, and Documentation
 Standard calibration curve
 Standard addition calibration curve
 Internal standard calibration curve
• Characteristic and steps of Method validation
o Selectivity
o Specificity
o Tolerance
o Linearity, Correlation Coefficient

o Accuracy & Precision
o Reliability (Repeatability, Reproducibility)
o Sensitivity, Detection Limit (LOD)
o Dynamic Range (LOQ, LOL, and LUR)
o Robustness

Module Three:

• The Evaluation of Results and Methods
• Errors in chemical measurements
o Systematic, Random, and Gross errors
o Errors in Qualitative and Quantitative Analysis
o Correction of errors and improving accuracy
• Measurement Uncertainty in chemical measurements
o Difference between Error and Uncertainty
o Why we have to used uncertainty in Measurement
o Sources of uncertainty in measurement
o Rationale of uncertainty
o Standard Deviation and Relative Standard Deviation
• Normal Distribution (Gaussian) Curve
• Confidence Limits (Intervals) CL

Module Four:

• Measurement Uncertainty in chemical measurements
o Tiered approach for uncertainty analysis
o Methods for uncertainty characterization
o Recommendations of ISO 17025 for uncertainty
o Steps in Uncertainty Assessment
o Combining Uncertainties
o Expanded uncertainty
o Round Uncertainty
o Procedures for estimating measurement uncertainty
 “Bottom-up” method GUM
 “Top-down” methods
 Monte Carlo method – an alternative to GUM

Module Five:

• Normal Distribution (Gussian Distribution curve)
• Statistical Process Control (SPC) & Control Chart
• Practical exercises for Inter-Laboratory Performance test
o F-test
o T-test (Student’s t Distribution test)
o Q-test
o Z-score
• Practical exercises for Uncertainty& Control Chart
o Manual Calculation for Uncertainty
o Used Excel Function for Uncertainty
o Drawing Control Chart by Excel
o Proficiency Test Calculation
o Significant Figure & Rounding

BTS attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration