Normality Tests and Normality Transformations: Explanations, Justifications, and Uses is an event dedicated to what it means to be "normally distributed", how to assess normality, how to test for normality.
Normality Tests and Normality Transformations: Explanations, Justifications, and Uses covers topics such as:
- Binomial distribution
- Regulatory requirements
- Normal distribution formula, histogram, and curve
- Historical origin of the Normal distribution
- Necessity for transformation to Normality
- Validity of Normality transformations
- Normal Probability Plot
- How to use Normality transformations
- Significance tests for Normality
- How to evaluate Normality of raw data and transformed data
- Recommendations for implementation
- Evaluating the results of a Normality test
- Recommended reference textbooks
Normality Tests and Normality Transformations: Explanations, Justifications, and Uses intended for:
- Process Engineer
- QA/QC Supervisor
- QC/QC Technician
- Manufacturing Engineer
- R&D Engineer
- Manufacturing Technician
