By Steven Wachs
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.