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  • Understand and assimilate basic statistics skills
  • Learn how process experimental data using statistics software
  • Metrology and numerical simulation

Engineers, researchers and technicians wishing to find out more about the statistics tools needed to examine test results

  • Basic skills in maths and statistics
  • Basic Excel skills

By the end of the course, the participant will be able to interpret test results based on a rigorous statistical data analysis.


Descriptive statistics

  • Characterisation of a random variable
  • Central limit theorem
  • Independence and correlation
    Inductive statistics
  • Small sampling theory
  • Hypothesis testing
  • Comparison with a target value
  • Sample comparison
    Processing experimental data
  • Simple random nature
  • Outlier tests
  • Normality test
  • Least squares fitting (OLS, WLS, GLS, GGMR)
  • ANOVA method
    Introduction to numerical simulation
  • Monte Carlo
  • Random variable generation
  • “Trialling” the theory
  • Bootstrap
  • Application using Excel
  • Presentation of practical Excel tools
From 2400 € Ex. Tax On site or at our premises For a group of up to 12 people CUSTOM - Pre and post-course support and mentoring
Remote Coaching
From 1750 € Ex. Tax Course available in full online format Pre and post-course support and follow-up - Remote Coaching Customized
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Additional training courses

MT01 Introduction to metrology
MT02 Methods for optimising calibration intervals (FD X07-014) and monitoring operations
MT03 Learn how to meet MSA requirements
EX01 Improving the metrology department: strategy and tools
EX02 Advanced course in evaluating measurement uncertainties
EX03 Latest calibration definition taken from VIM 3: Use of M-CARE modelling software
EX04 NF ISO/CEI Guide 98-4: Client and supplier risks
IN01 Introduction to evaluating uncertainties in measurements and tests
IN02 Practical introduction to evaluating and exploiting measurement uncertainties
IN03 Evaluating measurement uncertainties using indirect measurements
IN04 Evaluating measurement uncertainties using the Monte Carlo method
Statistics and measurement
ST01 Basic statistical tools used in measurement
ST02 Using applied statistics to process experimental data, measurement uncertainties and tests
ST03 Inter-laboratory comparisons and proficiency testing procedures based on NF ISO 5725 et NF ISO 13528
FP02 Extra practical course component delivered via video-conference
FP03 Setting up the drift method with Optimu
FP04 Setting up the OPPERET method
FOP01 Measuring Instrument Management Module (MIM )
FOP02 Calibration module
FOP03 Movements module
FOP04 Uncertainty module
FOP05 Statistics module
FOP06 Administrative Management module
FOP07 Further Theory and Practice Module FD X07-014
FOP08 System settings
FOP09 Monitoring module
FOP10 module
  • A fun way of learning how to use mathematical tools
  • Continuing support after the course