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Statistical Tests & Probability Functions

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Statistical Tests & Probability Functions Workshop

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

A On-site course provided by Process Quality Associates Inc. in London, Ontario, Canada

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