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Statistical Tests & Probability Functions

Workshop Overview
               
Statistical tests and probability functions are the foundations upon which process control and statistical analysis of data are based upon.  While some people have heard of normal distributions, F-tests, and t-tests, only a fraction of these can apply them to real-world problems.  More often, these are not applied, or improperly applied, or the conclusions derived from these tests and methods are incorrectly interpreted.  This course will re-introduce these statistical tools, and help you re-discover the power and usefulness they can bring to bear on your most annoying problems.


Workshop Content

  • Probability Distributions
  • Normality tests with standardized skewness & kurtosis values.
  • Central Limit Theorem
  • Student-t test
  • Fisher's F-test for comparing variances between two populations
  • Run tests
  • Poisson distributions and queue waiting time theory
  • Confidence tests
  • Sample size requirements
  • Kolmogorov-Smirnov Test for comparing two distributions
  • Mann-Whitney (Wilcoxon) W tests to compare medians
  • Analysis of variance & correlation
  • How to use statistics with problems solving techniques properly & effectively
You Need to Attend This Workshop If ......

You need stronger tools to better understand, reduce, focus, and use your mountains of data more effectively

Registration

This course is currently NOT available.

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