The Statistical Methods for Product and Process Development 2016 is a course that covers topics such as:
- Apply Hypothesis Testing to test whether two or more groups of data are statistically equivalent or not
- Effectively summarize data and communicate results with basic statistics and graphical techniques
- Appropriate sample sizes for estimation and hypothesis testing
- Key process parameters with associated confidence intervals to express estimate uncertainty
- Apply experiments to determine cause and effect relationships and model process behavior
- Key Design of Experiments concepts and methods
The Statistical Methods for Product and Process Development 2016 brings together:
- Product and Process Engineers
- Scientists
- Manufacturing Personnel
- Quality Engineers
- Project/Program Managers
- Personnel involved in product development and validation
