Confidence/Reliability Calculations of Product and Product Capability

Instructor: John N Zorich
Product ID: 705912
Training Level: Intermediate
  • 12
  • February 2019
    Tuesday
  • 10:00 AM PST | 01:00 PM EST
    Duration: 90 Min
In this webinar attendees will learn the specific easy-to-use formulas for calculating what % a population or process is "in-specification" (= % Reliability). This webinar focuses on explaining which formulas to use for what type of data, and when/how to perform transformations to normality prior to using such formulas.

Live Online Training
February 12, Tuesday 10:00 AM PST | 01:00 PM EST | Duration: 90 Min

$199.00
One Dial-in One Attendee
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recorded version

$249.00
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Recorded Link and Ref. material will be available in My CO Section 48 hrs after completion of Live training

Training CD / USB Drive

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CD/USB and Ref. material will be shipped within 15 business days after completion of Live training

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Live + Recorded Version

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Read Frequently Asked Questions

Why Should You Attend:

This webinar focus the relevant vocabulary, basic concepts, best practices and the relevant regulatory requirements of confidence/reliability calculation.

Detailed descriptions are given for how to calculate confidence/reliability for data that is either pass/fail (i.e., "attribute" data), normally-distributed measurement data, non-normally distributed measurement data that can be transformed into normality, and the use of confidence limits on Cpk (the classic value calculated to quantitate process capability).

All manufacturing and development companies perform testing and/or inspections that involve concluding whether or not a product or lot is acceptable vs. design or QC specifications. Such test/inspections may occur during design verification/validation or during incoming or final QC.

The most informative method for analyzing the data that results from such activities is the calculation of the product's or lot's "reliability" at a chosen "confidence" level (where "reliability" means "in-specification"). Such a method produces information that is more valuable than simply that the given product or lot "passed" (as is the case when "AQL Attribute Sampling Plans" are used) or a % in-specification statement without any corresponding confidence statement (as is the case with AQL Variables Sampling Plans and with classic Process Capability calculations).

Areas Covered in the Webinar:

  • Regulatory Requirements
  • Vocabulary and Concepts
  • Process Capability Indices
  • Attribute Data
  • Normal Data
  • How to Evaluate for Normality
  • How to Transform Non-Normal Data into Normality
  • MTTB calculations

Who Will Benefit:

  • QA/QC Supervisor
  • Process Engineer
  • Manufacturing Engineer
  • QC/QC Technician
  • Manufacturing Technician
  • R&D Engineer
Instructor Profile:
John N Zorich

John N Zorich
Statistical Consultant and Trainer, Statistical Consultant

John Zorich has spent almost 40 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 next 15 years were as a consultant in the areas of QA/QC and Statistics. These last few years were as a trainer and consultant in the area of Applied Statistics only. 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. His experience as an instructor in applied statistics includes having given annual 3-day seminars for many years at Ohlone College (San Jose CA), and previously having given that same course for several years for Silicon Valley ASQ Biomedical. He's given numerous statistical seminars at ASQ meetings and conferences. And he creates and sells validated statistical software programs that have been purchased by more than 110 companies, world-wide.

Topic Background:

The output of a "Confidence/Reliability" calculation is a definitive statement that the given product or lot has a specific % in-specification, which conclusion we can state with a specific level of confidence (e.g., 95% confidence of 99% reliability, or 90% confident of 93% reliability").

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Refund Policy

Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange.

Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.

If you have any concern about the content of the webinar and not satisfied please contact us at below email or by call mentioning your feedback for resolution of the matter.

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