Advance statistical analysis of laboratory data method development method validation uncertainty,  calibration SQC and interpretation
Course Description
Term statistics, derived from the word state, was used to refer to collection of facts of interest to the state, value of measurements depends upon level of confidence that can be placed in the results ‘‘How reliable is the result?’’, how sure are you, To answer this question an uncertainty budget must be prepared, which includes errors, random and systematic, arising from all aspects of experiment adopting on QC & QA principles which can enable a laboratory to show that it has adequate facilities and equipment for carrying out chemical analysis and that the work was carried out by competent staff in a controlled manner, QA should focus on the key issues which determine quality results, costs and timeliness avoid diversion into less important issues.
The Training Course Will Highlight ?
Training Objective

It is necessary to balance cost of QC & QA against the benefit in reducing quality failures to an acceptable (non-zero) level, you will learn how develop laboratory documents and quality. Attendees will receive practical instructions on the development, implementation and long-term maintenance of an effective laboratory quality system.

Organizational Impact: Improvement the skills of employees are not less important than improvement the efficiency of equipment within the various institutions. From this point of view, if you want to invest in your human resources welcome to your employees in training course.

Personal Impact: Your value in your field of work increases by increasing your theoretical and practical experiences, every information you gain in your working life increases your value in the work environment. From this point of view, we invite you to participate in this training to increase your skills through lecturers at the highest level of experience in the field of Statistical Analysis.

Target Audience

Laboratory managers, supervisors, chemists, and technicians working in methods development, R&D, QA/QC

Training Methods

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

Daily Agenda

Day 1:  

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

Day 2:  

  • Calibration Instruments and Measurement methods
    • Certificate Reference Material (CRM), choice and preparation
    • Degrees of Freedom
    • Linearity and Residual analysis in regression
    • Blank Correction
    • Instruments Calibration and Traceability
    • Calibration Procedures, Certificate, and Documentation
      • Standard calibration curve 
      • Standard addition calibration curve 
      • Internal standard calibration curve 
  • Characteristic and steps of Method validation
    • Selectivity
    • Specificity
    • Tolerance
    • Linearity, Correlation Coefficient
    • Accuracy & Precision
    • Reliability (Repeatability, Reproducibility)
    • Sensitivity, Detection Limit (LOD)
    • Dynamic Range (LOQ, LOL, and LUR)
    • Robustness

Day 3:  

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

 Day 4:  

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

Day 5:  

  • Normal Distribution (Gaussian Distribution curve)
  • Statistical Process Control (SPC) & Control Chart
  • Practical exercises for Inter-Laboratory Performance test
    • F-test
    • T-test (Student’s t Distribution test)
    • Q-test
    • Z-score
  • Practical exercises for Uncertainty& Control Chart
    • Manual Calculation for Uncertainty
    • Used Excel Function for Uncertainty
    • Drawing Control Chart by Excel
    • Proficiency Test Calculation
  • Quality Assurance and Audit Program
  • Significant Figure & Rounding
  • Reporting Analytical results and Archives
  • Laboratory Certification
Accreditation

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

Quick Enquiry

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Course Rounds : (5 -Days)


Code Date Venue Fees Register
Lab104-02 11-05-2025 Cairo USD 5450
Lab104-03 11-08-2025 Istanbul USD 5950
Lab104-04 09-11-2025 Dubai USD 5450
Prices doesn't include VAT

UpComing Date


Details
  • Start date 11-05-2025
  • End date 15-05-2025

Venue
  • Country Egypt
  • Venue Cairo

Quality Policy

 Providing services with a high quality that are satisfying the requirements
 Appling the specifications and legalizations to ensure the quality of service.
 Best utilization of resources for continually improving the business activities.

Technical Team

BTS keen to selects highly technical instructors based on professional field experience

Strengths and capabilities

Since BTS was established, it considered a training partner for world class oil & gas institution

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