Making Your Work Easier and Your Results Data-Driven with Statistics

Originally delivered Feb 9, 2011
Source: AIChE
  • Type:
    Archived Webinar
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Janet Hammill has used statistical analysis for over 25 years during her research and business career. She will share how statistics helped her teams design an adhesively bonded all-aluminum Audi space frame car, improve fatigue resistance for the wings of an Embraer aircraft, improve abrasion resistance of Ski Doo's when beached, and now is helping to model price escalation and simulate maintenance turn-over optimization designs to build a new complex of petrochemical plants in Saudi Arabia. In addition to an overview of basic statistics and design of experiments, paired t-test, Anova and upper and lower control limits will be covered.

The webinar is designed to answer some practical questions considered important to you. Questions answered while discussing real-life applications include:

1) What questions should I expect?
2) Why should I use experimental designs?
3) When am I ready draw conclusions?
4) What conclusions should I trust?
5) Can I use statistics when I have no data?
6) Is my system in-control and capable?
7) How will software will help me?
8) Who should I call to ask for help?
9) How do I validate my conclusions?
10) Do I really need to use this?


Janet Hammill

Janet Hammill is an employee of The Dow Chemical Company, a global diversified chemicals company. She is a graduate of the Carnegie-Mellon University Chemical Engineering Masters program with an undergraduate degree in Chemistry. In her position as Organizational Effectiveness Leader and Master Black Belt (MBB) she has applied Six Sigma methodology to build roadmaps of process excellence and mentor performance improvement teams. She is currently providing Organizational Effectiveness support as an MBB for the Ras Tanura Integrated Project, a proposed joint venture between Dow and Saudi...Read more

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