Printable Statistics Tutorial Outline
In support of Handbook objectives, the handbook includes methodology for performing a number of engineering processes associated with the design, manufacture and continued operational safety of composite materials. These processes use rigorous statistical analysis requirements to confirm acceptability. These statistical procedures are sometimes intricate and confusing to individuals that are not familiar with them.
This tutorial is a comprehensive treatment of the CMH-17 methods for statistical analysis and their importance to proper development of design information. Students will participate in an interactive session on the CMH-17 statistical methods, including practical example problems.
Students will receive a copy of CMH17STATS. Students need to bring a laptop computer with Microsoft Excel to participate in the interactive sessions, as they will be focused on using the specialized software available: CMH17 STATS and HYTEQ.
Lecture: Statistics for Allowable Generation
Understanding A- and B-basis values and related statistical tests This section focuses on the concepts of A- and B-basis values, what they represent and why they are important. Students will leave with a clear statistical understanding of A- and B-basis values, and an in-depth appreciation of the significance of these values in engineering applications. In addition, a user-friendly flowchart that outlines the material property basis value generation process used by CMH17 Stats will be presented. The flowchart, which was jointly created by Statistics Working Group and Data Review Working Group, emphasizes engineering rationale while ensuring statistical validity.
Interactive Tutorial: Statistics for Allowable Generation (Includes Practical Example Problems)
This interactive tutorial section will include practical example problems on how to compute engineering basis values as outlined in CMH-17. The CMH17 STATS program computes A- and B-basis values as well as other statistics. The use of engineering judgment in interpreting the software results in arriving at a final decision will be discussed.
Lecture: Equivalency Data Analysis
Understanding material equivalency and acceptance testing (material specification limits). This section focuses on the concepts of equivalency testing, including the null hypothesis, Type I and Type II errors, the test statistics and the power of the test. Students will leave with a clear understanding of the purpose and criteria for material equivalency and acceptance testing. A modified co-efficient of variation approach for the purpose of generating interim basis values and specification limits will be explained and discussed.
Interactive Tutorial: Equivalency Data Analysis (Includes Practical Example Problems)
This interactive tutorial section will include practical example problems on how to compute equivalency test statistics outlined in CMH-17. HYTEQ (HYpothesis Testing of EQuivalence) computes the hypothesis test results for equivalency data. The use of engineering judgment to interpret the plethora of equivalency test results in arriving at a final decision will be discussed.
* Agenda and content is subject to change.