Using Analysis of Variance — A Practical Approach – Webinar Recording/Transcript
Product Details
Want to attend the live webinar on Sept. 17, 2020? Click here to register.
How much would it help your Quality Management System if you were also an expert statistician?
While you can’t become one in 90 minutes, you can master a powerful statistical technique in that time — Analysis of Variance (ANOVA).
The answer lies in a tool you already have and use: Microsoft Excel.
Dan O’Leary, president of Ombu Enterprises, will help you understand ANOVA and how to use it. He’ll explain this statistical powerhouse’s concepts. He will even skip over the complicated equations, since Excel’s built-in set of macros, the Analysis ToolPak, will handle these details.
Data collection is an important issue, especially avoiding bias. Dan will impart how to randomize data collection — and use Excel to generate the random numbers you need.
He’ll share how to access the ToolPak, which one to use and how to understand the results.
You’ll be able to perform the data analysis and focus on the results and their meaning, all while letting Excel work out the computational details in the background.
With the information you need to help determine the effect on your processes, you’ll move them light years ahead of the competition.
Presentation Takeaways:
- 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
Just bring a basic understanding of both Excel (entering data, selecting ranges, etc.) and quality improvement methods.
Easily access this effective statistical technique no matter your grasp of statistics or equations. Unlock the ANOVA magic within Excel and take your QMS to the next level.
Meet Your Presenter
Dan O’Leary 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 medical devices and clinical laboratories. 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.
Who Will Benefit
People involved in the inspection, measuring and test equipment (IM&TE) control program, particularly:
- Quality Managers
- Quality Engineers
- Production Managers
- Production Supervisors
- Manufacturing Engineers
- Production Engineers