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SS511 Hypothesis Testing for Observational Data

Certificate Track: Six Sigma

This 2-day course will enable you to answer the questions – has there been a change in my process or product? Is this process or product different from this one?  Is there a change in customer satisfaction from before to after the project completion or are there differences in process cycle times or yields among the operations around the world.  Hypothesis testing are statistical methods to answer the fundamental question “Does the data support a hypothesis that says there is a difference?”

In this course, you will learn how to test for differences or change for observational data for different situations like the number of processes you want to compare or the nature of the data—continuous or discrete data—or for comparing sample data against a claimed level of process performance or for comparing averages of process outputs or their consistency expressed as variances or standard deviations.Register Now button

What You Cover

  • How to perform and interpret correlation and regression analysis and develop correlation models to predict changes in processes and products.
  • How to relate one dependent variable to one or more independent variables
  • How to confirm statistically significant differences in processes or products for continuous and discrete variables
  • How to determine the minimum sample size you will need to confirm statistically significant differences
  • How to assess the probability that you conclusions about correlations or differences are accurate

Who Should Attend

  • People working with manufacturing or non-manufacturing processes
  • Manufacturing, Process and Quality Engineers
  • R&D scientists and engineers
  • Product and process development and design engineers
  • Marketing and business analysts

Cost: $889
Discounts may apply, please refer to the registration page for details.

Instructor: Steve Zagarola
 Steve Zagarola is a Executive Master Black Belt in Six Sigma with more than 25 years’ experience in the application of statistical and modern structured approaches to the optimization of manufacturing and transactional processes, quality systems and R&D. He was certified by the Six Sigma Management Institute by Dr. Mikel J. Harry – one of the original founders of the Six Sigma methodology at Motorola. He has worked to improve manufacturing operations for global organizations on six continents and in English, Spanish, Italian and German.


Recommended: SS500 - Intro to Continuous Improvement and SS501 - Structured Problem Solving, or equivalent knowledge about basic statistical methods. Equivalent knowledge includes understanding of basic statistical concepts such as distributions, sample statistics and the central limit theorem. The courses SS505- Intro to DOE and SS507- Intermediate DOE provide excellent backgrounds.

Applies to the following certificate(s)
Six Sigma Black Belt Certification
Six Sigma Green Belt Certification


Questions  Questions about this program or course?  Contact us.

Custom Training  Interested in bringing this program to your organization? Contact us.