Design: Sample Size Determination for Design Validation Activities
Sample Size Determination,Maths , Statistics, Design
NetZealous LLC
Summary
- Certificate of completion - Free
- Tutor is available to students
Overview
Design Validation should ensure that product performance, quality, and reliability requirements are met.
In order to have high confidence that products will perform as intended, enough data must be collected and analyzed using various statistical methods.
Selecting appropriate sample sizes often vexes many practitioners. Testing only a few units does not provide a high level of confidence that performance requirements will be consistently met. Testing too many units may be unnecessarily expensive and can lead to misleading conclusions.
Statistical Methods are typically used to ensure that product performance, quality, and reliability requirements are met during the Design Validation phase of product development.
Description
Why you should Attend:
Sample sizes have a significant impact on the uncertainty in estimates of key process performance characteristics. To have high confidence in results, sufficient sample sizes must be used.
Potential problems should be uncovered during Design Validation, prior to launching a product. Failure to do so may result in customer dissatisfaction, excessive warranty, costly recalls, or litigation.
Participants in the webinar will be able to understand the impact of sample sizes on the results from various statistical analysis methods commonly used during Design Validation.
Areas Covered in the Session:
- Populations, Samples, Data Types, and Basic Statistics
- Common Elements of Sample Size Determination
- Design Validation Applications
- Sample Sizes for Reliability Demonstration (Pass/Fail Outcomes)
- Sample Sizes for Reliability Estimation
- Sample Sizes for Estimating Proportion Failing (Pass/Fail Test Outcomes)
- Sample Sizes for Acceptance Sampling / Lot Disposition
- Other Common Sample Size Applications (Hypothesis Testing, Equivalence Testing)
Who is this course for?
- Quality Personnel
- Product Design/Development personnel
- Manufacturing Personnel
- Operations / Production Managers
- Production Supervisors
- Supplier Quality personnel
- Quality Engineering
- Quality Assurance Managers, Engineers
- Process or Manufacturing Engineers or Managers
Questions and answers
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Certificates
Certificate of completion
Digital certificate - Included
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Legal information
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