Take Advantage of the Benefits By bringing these courses on-site to your facility you save time and money. The instructors, leading experts in their field, will tailor the course to meet the specific needs of your organization. This gives you the opportunity to train your entire staff at once and to discuss your special situations.
Free ASTM Membership Attend this course and receive a FREE 1-year membership to ASTM International and Committee E11 on Quality and Statistics. (Applies to new members only and may not be used to renew existing memberships)
About the Course Learn what steps should be undertaken in a systematic approach for developing new test methods, or evaluating and improving existing ones. Whether working on ASTM type standards, or proposing methods to be used locally, they should be systematically examined in a statistically sound way. Increasingly, laboratories are being expected to follow guidelines such as ISO 17025 to assure their methods are valid. This course will help you understand how to implement specific procedures to examine your test methods.
Information About On-Site Fees Please contact sales here or call 1-877-909-ASTM. Fees will include four referenced ASTM standards; ASTM Manual 7; course, notes; Certificate of Attendance; 2.1 Continuing Education Units; and Refreshment Breaks.
* E 1488 Guide for Statistical Procedures to Use in Developing & Applying ASTM Test Methods
* E 1169 Guide for Conducting Ruggedness Tests
About ASTM and Committee E11 on Quality Statistics Established in 1898, ASTM is one of the world's largest voluntary standardsdevelopment organizations. ASTM standards have grown to be among the world's most widely used and accepted documents. The 82-volume Annual Book of ASTM Standards contain 12,000 standards written by 34,000 members on our 140 technical committees. These standards are widely used throughout the world as the basis of purchasing and other contracts, codes, laws and regulations. The standards referenced in this course were developed by Committee E11 on Quality and Statistics.