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Webinar on Normality Tests and Normality Transformations: Explanations, Justifications, and Uses

Event Details

Webinar on Normality Tests and Normality Transformations: Explanations, Justifications, and Uses

Time: February 17, 2016 from 10am to 11:30am
Location: Online Event
Street: 161 Mission Falls Lane, Suite 216
City/Town: Fremont
Phone: Event Manager
Event Type: webinar
Organized By: Adam Fleming
Latest Activity: Dec 17, 2015

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Event Description

Overview: 

Normality Tests and normality transformations are a combination of graphical and numerical methods that have been in use for many decades. These methods are essential to apply whenever a statistical test or method is used whose fundamental assumption is that the inputted data is normally distributed.

Why should you Attend: 

The calculations used in many statistical tests and methods require that the inputted data be "normally distributed". Such calculations include those for Student's t-Tests, ANOVA tables, F-tests, Normal Tolerance limits, and Process Capability Indices.

Areas Covered in the Session:

  • Regulatory requirements
  • Binomial distribution
  • Historical origin of the Normal distribution
  • Normal distribution formula, histogram, and curve


Who Will Benefit:

  • QA/QC Supervisor
  • Process Engineer
  • Manufacturing Engineer
  • QC/QC Technician

Speaker Profile:

John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the last 15 years were as consultant in the areas of QA/QC and Statistics. His consulting clients in the area of statistics have included numerous start-ups as well as large corporations such as Boston Scientific, Novellus, and Siemens Medical. 

Contact Detail:

NetZealous - Compliance4All,
161 Mission Falls Lane, Suite 216,
Fremont, CA 94539, USA.
Phone: +1-800-447-9407
Email: support@compliance4All.com
http://www.compliance4all.com/
Event Link : http://bit.ly/Normality-Tests-and-Transformations

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