2020 - Using Statistics to Determine Sample Size

Overview:
We often sample from a process or population in order to make an inference about the process based on the sample results. Selecting appropriate sample sizes often vexes many practitioners.
This webinar discusses many issues present in any sample size determination. The webinar also discusses several common applications that require an appropriate sample size determination including estimation of product/process performance characteristics, hypothesis tests, acceptance sampling, Statistical Process Control charts, and reliability demonstration.
When selecting sample sizes, it is important to align the statistical properties of the estimate or test with practical considerations. More data is not always better. Numerous examples are provided to illustrate the key concepts and applications.
Why you should Attend: The webinar will provide important considerations when selecting sample sizes for specific applications. The knowledge gained by attending the webinar will allow practitioners to consider the implications of sample size selection prior to conducting the study and ensure that the information obtained can be useful for decision making.
Areas Covered in the Session:
Population and Samples
Basic Statistics
Common Applications requiring sample size determination
Hypothesis Testing
Estimation of parameters
Acceptance Sampling Plans
Statistical Process Control Charts
Reliability Demonstration Testing
Who Will Benefit:
R&D Personnel
Product Development Personnel
Quality Personnel
Lab Testing Personnel
Operations / Production Managers
Quality Assurance Managers, Engineers
Process or Manufacturing Engineers or Managers
Program or Product Managers
Business Analysts
Process Improvement Personnel
Management