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Statistical
Methods
Grasp basic statistical analysis concepts through the use
of industrial process case studies. Note: Computers will be
used in this seminar; please bring a laptop if possible.
Seminar Content
Characterizing a Single Process
Estimation of a Mean, Variance and Proportion
Detecting Outliers
Confidence Intervals for the Estimates
Type I and II Errors
Hypothesis Testing for the Mean, Variance and Proportion
Paired Data and the Paired t Test
Comparison of Two Processes
Testing for Equal Means
Testing for Equal Variances
Testing for Equal Proportions
Comparison of Multiple Processes
ANOVA for Comparing Means
Confidence Intervals for Multiple Comparisons
Describing the Relationship Between Two Variables
Correlation
Simple Linear Regression
R Squared
Residual Analysis
Confidence and Prediction Intervals
Predicting a Response Using Several Variables
Multiple Regression
Testing for Significant Explanatory Variables
Model Selection
Who Should Attend
Individuals involved with analysis of process data underlying
quality and productivity improvement.
Prerequisites
A knowledge of basic algebra is highly recommended. Computer
analysis using Microsoft ExcelTM and StatgraphicsTM will be
emphasized.
Related Seminars
Statistical Process Control II
Design of Experiments II
Seminar
Fee: $795
All meals, excluding dinner, are included.
Each participant will receive a comprehensive
manual and a Certificate of Completion at the close of the
seminar.
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