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Statistical Methods for Process Improvement - Part 1: Using Data for Process Improvement

Davis M. Woodruff, PE, CMC

This 3 hour course presents a review and overview of practical and simple statistical methods that can be used for process improvement. Practical how-to information for gathering data and converting it into useful information for process improvement is presented. It is not a theoretical statistics course and is intended as a review/overview type course which is practical and oriented to industry.

This course will also provide help organizations that are either ISO 9001, 14001, 13485, TS 16949 or AS 9100 registered or seeking registration to meet the requirements for process and product monitoring and measurement as well as data analysis and continual improvement found in the standards.

This is part 1 of a five part series of Statistical Methods for Process Improvement. The five parts of this series are:

Part 1: Using Data for Process Improvement Part 2: Using the Normal Distribution Part 3: Understanding and Using Process Control Charts Part 4: Using Data to Make Decisions Part 5: Understanding Process Capability

Using practical, simple and powerful statistical methods can help organizations monitor and measure process or product performance while providing information for fact based decision making.

This course includes a multiple choice quiz at the end, which is designed to enhance the understanding of the course materials.

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NY PE & PLS: You must choose courses that are technical in nature or related to matters of laws and ethics contributing to the health and welfare of the public. NY Board does not accept courses related to office management, risk management, leadership, marketing, accounting, financial planning, real estate, and basic CAD. Specific course topics that are on the borderline and are not acceptable by the NY Board have been noted under the course description on our website.