Workshop on

Quantitative Methods for
Measuring and Analyzing Uncertainties

Carl Lee, Professor of Statistics
  Central Michigan University

Senior Research Fellow at the Center of Applied Research in Technology, Central Michigan University
TELTECH Knowledge Network Expert Statistician

The following material was first presented at the Workshop sponsored by 
National Bureau of Standards & Metrology and Inspection, Taiwan, ROC from July 30 to August 15, 2001

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After reviewing the materials, please do the following background survey

Topics:

Outline of the Workshop

Module One: Measurement and Uncertainty

Module Two: Graphical and Numerical Methods for One Variable

Module Three: Graphical and Numerical Methods for Bivariate Variables

Module Four: Normal Distribution and Diagnosis of Normality Assumption 

Module Five: Outlier Detection for One Sample Case, Box Plot and h-plot and Residual Analysis

Module Six: Outlier Detection for Two Sample Case, Youden Plot, Principal Component Analysis and Bivariate Plots, and Numerical Methods for Outlier Detection

Module Seven: Quantifying and Presenting Uncertainty

Module Eight: Comparative Studies - One and Two Sample Problems

Module Nine: Comparative Studies - Uniformity of Variances

Module Ten: General Considerations of Designing Experiments and Analysis of One-Way ANOVA

Module Eleven: Experiments to study Uncertainty Variance Components

Module 12: Designs and Analysis of Factorial Experiments

Module 13: Gage R&R Analysis - Quantifying Repeatability and Reproducibility 

Module 14: Block Designs and Others

References 

Brief Introduction to Minitab

SPSS Online Training Workshop

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For problems or questions regarding this web contact Carl.lee@cmich.edu.
Last updated: April 17, 2002. Copyrighted by Carl Lee