Using Analysis of Variance - A Practical Approach

Why Should You Attend:

You are assigned to investigate a production process in your quality management system. You need to know if it could be improved, but you don’t know how to collect and analyze the data. There is a powerful technique called Analysis of Variance (ANOVA) that will do the work for you. The solution is already in your computer; built into Microsoft Excel. You don't have to be a statistician to do the statistical analysis of your process.

This webinar will help attendees understand ANOVA and how to use it. It will explain the concept of ANOVA without the statistical details that often hinder understanding. The webinar will skip over equations, since Excel handles those details.

Data collection is an important issue, especially avoiding bias. The solution is to randomize the data collection; the webinar will explain how Excel can generate random numbers you need.

Excel’s built-in set of macros will do the ANOVA work for you. Attendees will learn how to access them, which one to use, and how to read the results. The underlying computations are complicated, but Excel handles them in the background with ease. The result gives you the information you need to help determine the effect on your process. With Excel, a powerful statistical technique becomes easily accessible.

Areas Covered in the Webinar:

• The underlying idea that makes ANOVA work
• The data collection issues you should plan
• How to get access to ANOVA in Excel
• Entering the data
• Selecting among the options
• Interpreting the result

Who Will Benefit:

This webinar is applicable to all industries, but medical device manufacturers find the techniques particularly valuable. Attendees include:

• Quality Engineers
• Design Engineers
• Production Engineers
• Production Supervisors
• Process Improvement Specialists
• Team Members Involved in Design Changes

Instructor Profile:

Daniel O'Leary is 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. Mr. O'Leary 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 Master’s Degree in Mathematics; is an ASQ certified biomedical auditor, quality auditor, quality engineer, reliability engineer, and Six Sigma Black Belt; and certified by APICS in resource management.

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