Tests and Transformations 2021 - Is My Data Abnormal? Normality Tests and Transformations
Topics/Call fo Papers
This webinar will show you how to check for normality in your data and apply transformations to non-normal data. Many of the commonly used statistical tests and calculations of chart limits (or other measurements) require that the data be “normally distributed”.
The FDA requires that company to have “valid statistical techniques” are “suitable for their intended use”. Many statistical tests require that the distribution of the data used is normal. Assuming that the distribution of data is normal, without checking to see if indeed it is normal, will cause errors in test results.
Regulatory Requirements
History of the Normal Distribution
The Normal Distribution in Mathematical and Visual Form.
Speaker:
Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California.
The FDA requires that company to have “valid statistical techniques” are “suitable for their intended use”. Many statistical tests require that the distribution of the data used is normal. Assuming that the distribution of data is normal, without checking to see if indeed it is normal, will cause errors in test results.
Regulatory Requirements
History of the Normal Distribution
The Normal Distribution in Mathematical and Visual Form.
Speaker:
Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California.
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Last modified: 2021-05-05 13:34:47