Analysis, Using Appropriate Statistical Methodology

Website http://www.compliance4all.com/control/w_product/~product_id=501463LIVE?channel=ourglocal_Sep_2017_SE | Edit Freely

Category Time Series Analysis, Data analysis, Medical device, time series analysis forecasting, time series data analysis, time series forecasting methods, Design Engineer Online courses, Quality Manager programs, techniques using Excel

Deadline: September 19, 2017 | Date: September 20, 2017

Venue/Country: Fremont, U.S.A

Updated: 2017-07-17 16:02:39 (GMT+9)

Call For Papers - CFP

This analysis, using appropriate statistical methodology, under §820.100, identifies the cause of nonconforming products and other quality problems.

The presentation also covers some special cases including data smoothing using moving averages, analysis with a lag function, and statistical process control (SPC).

Why should you Attend:

Data analysis can be difficult, especially when the appropriate method is not clear. This presentation explains the methods when the data has a time based order. Excel includes functions and methods that can you analyze the data and present it in a meaningful way.

Who Will Benefit:

Quality Engineers

Manufacturing Engineers

Design Engineers

Data Analysts

Auditors

CA&PA Specialists

Quality Managers

Speaker Profile:

Dan is the President of Ombu Enterprises, LLC, a company offering training and execution in Operational Excellence, focused on analytic skills and a systems approach to operations management. Dan has more than 30 years experience in quality, operations, and program management in regulated industries including aviation, defense, medical devices, and clinical labs. He has a Masters Degree in Mathematics; is an ASQ certified Biomedical Auditor, Quality Auditor, Quality Engineer, Reliability Engineer, and Six Sigma Black Belt; and is certified by APICS in Resource Management.

Event Cost & Details:

One Dial-in One Attendee Price: US$150.00

Contact Detail:

Compliance4All DBA NetZealous,

Phone: +1-800-447-9407

Email: supportcompliance4All.com