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Business Improvement Consulting and Training
Continuous Improvement

Statistical Testing Seminar

When data are taken and statistically analyzed there are tests that can be performed to determine the validity of the data and whether operational characteristics have varied beyond reasonable limits. Those tests determine whether the process has changed, whether the population characteristics have shifted, whether the population is homogeneous or is a mixture.

In this course you will learn how to perform and interpret the results of:

  • Z-tests
  • T-tests
  • Chi-square tests
  • F-tests

You will learn how to interpret and apply:

  • Sample size selection
  • Consumer and producer sampling risks
  • Confidence intervals
  • Predictions

 

Format: Lecture, examples, models, and discussion

Length: 1 full-day

Cost: $395 pp. at public seminar or $2,000 at your facility with unlimited attendees

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Suggested audience: Process engineers, inspectors and testers, production and assembly supervisors, data analysts, quality engineers and supervisors

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