Laboratory Operations, Analyzers, R&D, R&T
Practice of Statistics Method and Measurement Uncertainty

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Practice of Statistics Method and Measurement Uncertainty Course
Introduction:
Course Objectives:
Upon successful completion of this course, the delegates will be able to:
- Concepts involves in 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
Who Should Attend?
This course is intended for all chemists, laboratory technicians, chemical engineers, scientists, laboratory managers, R&D, instrument engineers and all laboratory professionals
Course Outlines:
- 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
- Standard deviation of replicate measurement
- 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
- 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
- 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 )
- 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
- 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
- Duties of world-class maintenance supervisors