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Description

The principles of confidence intervals and hypothesis testing are the foundation of statistical analyses assuring the accuracy of all data-based decisions. In this training you will learn to apply statistical tests to compare processes, performance to target and paired populations. Compare variability or defect levels for two or more designs, machines, raw materials or processes using variance and proportion tests. Determine the right sample size for each study using power analysis. Finally, apply regression techniques to establish statistically significant relationships, y = f (x1, x2, x3 …….), between input and output variables, then use these models to optimize your process. In this 2nd course to becoming a certified Industrial Data Analyst, you’ll be doing not watching, as we analyze examples from Gore-Tex, DepoMed, Quantum Silicone, Merek, Millipore, Apple, Corning Inc., 3M, Keurig and more.

You’ll learn all key statistical analyses to allow you to make accurate conclusions from your data!

  • One & Two Sample t-tests for population comparisons

  • Anderson-Darling test for normality and alternatives

  • Tests on One & Two Proportions for defect data

  • Hypothesis Testing theory and practice

  • Sample Size Calculations for any data collection plan

  • Simple and Multiple Linear Regression for modeling relationships

  • Confidence, Prediction and Tolerance Intervals

  • Analysis of Residuals to validate regression models

  • Tests of Equal Variance for variation comparisons

Peers

Participants include other engineers, technicians and scientists providing a great networking opportunity.

Exclusive

In addition to the workshop, there are three personal 1:1 sessions available with your trainer.

Testimonials

“You can tell the trainer is passionate about his work and it rubs off on the class.  One of the best training facilitators I have had the pleasure to work with.”

“The training uses a good communication model. Theory, practice then work an exercise on our own and review. We did this for each major chapter and it worked really well. Kept my interest!”

“We discovered huge opportunities in our historical data and they had been sitting there for years, right under our nose!  I am excited to move on to my next project and so is my company.”

“ Great class!  I can’t wait to sign up for the next topic.”

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