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The first step is to quantify how far the outlier is from the others. Calculate the ratio Z as the difference between the outlier and the mean divided by the SD ...

GraphPad FAQs

This page explains how to identify an outlier from a stack of values in a data table formatted for Column data. Prism can also identify outliers during ...

https://www.graphpad.com/guides/prism/latest/statistics/

The residuals of the robust fit are analyzed to identify any outliers. This step uses a new outlier test adapted from the False Discovery Rate approach of ...

https://www.graphpad.com/guides/prism/latest/curve-fitting/

This calculator performs Grubbs' test, also called the ESD method (extreme studentized deviate), to determine whether the most extreme value in the list you ...

https://www.graphpad.com/quickcalcs/grubbs1/

Prism uses the ROUT algorithm, using the value of Q that you can adjust to decide when to declare a point to be an outlier.

https://www.graphpad.com/guides/prism/latest/curve-fitting/

Grubbs' is slightly better than the ROUT method for the task it was designed for: Detecting a single outlier from a Gaussian distribution.

GraphPad FAQs

Briefly, it first fits a model to the data using a robust method where outliers have little impact. Then it uses a new outlier detection method, based on the ...

https://www.graphpad.com/guides/prism/latest/statistics/

This example shows you how easy it is to identify outliers with Prism. Learn more about how this method works, when it is useful, and when it should be avoided.

https://www.graphpad.com/guides/prism/latest/curve-fitting/

Please enable JavaScript to view this site. ... Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a ...

https://www.graphpad.com/guides/prism/latest/curve-fitting/

Prism provides a method for identifying outliers in column data (new to Prism 6) and a method to identify outliers when fitting curves with nonlinear ...

GraphPad FAQs