The course aims to show how this can be achieved in a practical and cost-effective manager and how it can be used to increase the overall confidence in the measurements made. ISO17025 also requires laboratories to produce uncertainty budgets for each accredited test. The workshop aims to dispel some of the myths of uncertainties and show, practically, how relevant uncertainty budgets can be calculated.
Upon successful completion of this course, the delegates will be able to:
- Concepts involve the calculation of measurement uncertainty
- Calculation 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
DAY 1
- Instruments Analysis Data
- Peak Evaluation
- Interpolated graph Calibration using External /Internal Standard s
- Standard addition methods extrapolated graph
- Errors in Quantitative analysis
- Random and Systematic errors in titration analysis
- The standard deviation of replicate measurement
DAY 2
- Distribution of errors
- Confidence limit of the means of replicate measurements
- Measurements uncertainty
- Errors in instrumental analysis regression and correlation
- Use of regression lines for comparing analytical methods
- Confidence limit of X –Value
- Outlier in regression
DAY 3
- Limit of detection
- Significance test of evaluation of experiential results
- (T-Test )Comparison of a mean with a known value
- T-Test )Comparison of a mean with of two samples with S1>>S2
- T-Test )Comparison of a mean with of two samples with S1’S2
- Paired T-Test and one-tailed and two-tailed
- (F-test ) for the comparison of standard deviations
- ANOVA-test analysis of several means and variances
DAY 4
- ANOVA-test analysis of several means and variances
- Testing for normality of destructions
- Outlier test
- Non –Parametric or distributions –free methods
- Box and whiskers plots
- Comparison of a median with a known value ( Sign Test )
- The confidence interval for non-parametric methods
- Comparison of a median of two methods (the sign test )
- Comparison median of two un-depended samples
- Comparison spread of two sets of non –paramedics results
DAY 5
- Rank correlation for non-quantified results (spearman methods)
- Non –Parametric methods or more than two samples (Fried ‘S man test )
- Non –Parametric regression methods (Theil ‘S test ) quality Control harts
- Quality Control Charts
- Shewhart and custom Charts
- Experimental design and optimizations methods
- Factories designs
- Estimation of factors interaction by two ways Anova test
- Optimization methods and three factors design
This course is intended for all chemists, laboratory technicians, chemical engineers, scientists, laboratory managers, R&D, instrument engineers, and all laboratory professionals.