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Statistical
Tests & Probability Functions
Workshop Overview
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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.
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Workshop Content
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- 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
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You Need to Attend This
Workshop If ......
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You need stronger tools to better understand, reduce, focus, and use
your mountains of data more effectively
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Registration
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This course is currently NOT available.
Call PQA to discuss your training needs at: +1 (519)-667-1720 or in North America
(800)-837-7046
E-mail
PQA about your training needs
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