Overview: Normality Tests and normality transformations are a combination of graphical and numerical methods that have been in use for many decades. These methods are essential to apply whenever a statistical test or method is used whose fundamental assumption is that the inputted data is normally distributed. Normality testing involves creating a normal probability plot and calculating simple statistics for comparison to critical values in published tables.

Date : 17th February 2016 to 17th February 2016

Place : United States, Fremont

Website :http://bit.ly/Normality-Tests-and-Transformations

Contact Person:Event Manager

Description:

Overview: Normality Tests and normality transformations are a combination of graphical and numerical methods that have been in use for many decades. These methods are essential to apply whenever a statistical test or method is used whose fundamental assumption is that the inputted data is normally distributed. Normality "testing" involves creating a "normal probability plot" and calculating simple statistics for comparison to critical values in published tables.

Overview: Normality Tests and normality transformations are a combination of graphical and numerical methods that have been in use for many decades. These methods are essential to apply whenever a statistical test or method is used whose fundamental assumption is that the inputted data is normally distributed. Normality testing involves creating a normal probability plot and calculating simple statistics for comparison to critical values in published tables. will be held in Fremont,United States on date 2016-02-17

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Deadline for abstracts/proposals : 16th February 2016

Keynote Speakers :

Venue :Fremont, CA, United States

Check the event website for more details.