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... outlier, rather than using a nonparametric test. The decision of whether to use a parametric or nonparametric test is most important with small data sets ...

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Thus the test is fairly robust to outliers (like the Mann-Whitney test). •The null hypothesis is that both groups were sampled from populations with ...

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

So it sometimes missed an outlier. This was true for any value of alpha you entered; it actually used a value for alpha half of what you entered. Fixed in ...

GraphPad FAQs

In contrast, Prism can get confused by perfect data if you choose a robust fit, or if you checked the option to count or exclude outliers (which requires a ...

GraphPad FAQs

... outliers were excluded, and one with the results from after the outliers were excluded. When you freeze a results or graph sheet, it becomes disconnected ...

https://www.graphpad.com/guides/prism/latest/user-guide/

Identifying outliers; One sample t test and Wilcoxon signed rank test; t tests, Mann-Whitney and Wilcoxon matched pairs test; Nested t tests and ANOVA; Multiple ...

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

... outlier? If that were true, there would have been an interaction -- the treatment would have worked better in one gender than the other. With only a single ...

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

Aug 15, 2023 ... This video will guide you through the steps required to detect and remove outliers from data in Prism. LENGTH. 3 Minutes. Analyze, graph ...

https://www.graphpad.com/series/

... outlier removal. Now it works. Outliers elimination. A robust fit is used as the baseline for detecting outliers. In rare cases, Prism is unable to complete ...

GraphPad FAQs

On the Random error tab, choose among several methods for generating random scatter and also adding outliers. You must choose one setting for the random ...

https://www.graphpad.com/guides/prism/7/statistics/