Webinar On Confidence / Reliability Calculations & Statistically Valid Sample Si
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| Description: | 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 Process Capability calculations). 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"). Areas Covered in the Session : The seminar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed. Next, 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, or non-normally distributed measurement data that cannot be transformed into normality. Spreadsheets are shown as examples of how to implement the methods described in the seminar. A final discussion is provided on how to introduce the methods into a company. All the above is captured in these bullet points: Regulatory Requirements Vocabulary and Concepts Attribute Data Normal Data Normal Probability Plotting Non-Normal Data that can be normalized Reliability Plotting (for data that cannot be normalized) Implementation Recommendations Who Will Benefit: A must attend webinar for all QA / QC Supervisors Process Engineers Manufacturing Engineers QA / QC Technicians Manufacturing Technicians R&D Engineers Price Tags: Live Single Live : For One Participant $ 249 Corporate Live : For Max. 10 Participants $ 899 Recording Single REC : For One Participant - Unlimited Access for 6 Months $ 299 For more information and enquiries contact us at Compliance Trainings 5939 Candle brook Ct, Mississauga, ON L5V 2V5, Canada Customer Support: 416-915-4458 Email: support@compliancetrainings.com For more information about this event please visit https://compliancetrainings.com/SiteEngine/ProductDetailView.aspx?id=FDB1273 |
| URL: | https://compliancetrainings.com/SiteEngine/ProductDetailView.aspx?id=FDB1273 |
| Date: | Thursday, November 13, 2014 |
| Time: | 6:00pm-7:25pm UTC |
| Duration: | 1 hour 25 minutes |
| Access: | Public |
| Category: | Webinar* |
| Created by: | Public Access |
| Updated: | Friday, October 31, 2014 12:45pm UTC |
| : | $249 |
| : | 4169154458 |
| : | uttam@compliancetrainings.com |
| : | Uttam Mandal |
| : | 4169154458 |
| Comments: | None |