•       By the end of this course delegates will be able to:

  • A thorough understanding of the factors which could influence the results of laboratory analyses
  • The factors, which are important for good laboratory operations
  • The use of statistical techniques to estimate the uncertainty in measurements.

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

• Introduction to Total Quality Management Concepts 
• Laboratory organization based on the TQM concept 
• The factors which could affect Measurement Quality 
• Quality assurance of chemical measurements 
• Introduction to basic statistical concepts
• Refresher exercises on statistics 
• Frequency distributions
• Probability 
• The normal curve and its properties 
• Sources of error
• Confidence intervals 
• Principles of measurement 
• Sensitivity
• Limits of detection
• Selectivity 
• Calibration principles
• Reference materials 
• Blank correction 
• Traceability
• Standards 
• Sampling discrete items and from bulk 
• Sample tracking
• Laboratory Information Systems (LIMS) 
• Standard operating procedures (SOP) 
• Reproducibility
• Repeatability 
• Calculation of measurement uncertainty 
• Calculation of confidence intervals from measurement data 
• Comparison of values
• Single tail tests
• Two tail tests 
• Analysis of variance 
• Regression analysis 
• Construction of calibration lines
• Construction of relationship lines