About 257 documents, showing 81 to 90

81

Prism reports the value of the Friedman statistic, which is calculated from the sums of ranks and the sample sizes.

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

82

Compute the total variance, V, as explained on page 38-40 of a handout by Michael Vaeth. 2.Compute Where O1 is the total observed number of events in Group 1 ...

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

83

Consider fitting a line (linear regression) to transformed data. When you fit any model with nonlinear regression, you assume that the variation of residuals is ...

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

84

The fraction of all variance in Y that is explained by the multiple regression model. ... Prism can compute goodness-of-fit of Poission in four ways ...

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

85

Principal Component Analysis (PCA). Calculate and select the principal components that describe the greatest amount of variance in your data. Choose from ...

https://www.graphpad.com/

86

By selecting this option, Prism will perform the unequal variance unpaired t test (sometimes called the unpaired t test with Welch's correction). oThe next ...

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

87

... calculated using the linear ... However, remember that the first component contains more “information” (in the form of explained variance) ...

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

88

Instead, choose the Tukey test if you want to compute confidence intervals for every comparison or the Holm-Šídák test if you don't. oFollowing two-way ANOVA If ...

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

89

Based on a suggestion in Numerical Recipes (1), we based our robust fitting method on the assumption that variation ... Robust regression cannot calculate ...

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

90

However the calculation of slope does not account for the actual variability. ... Because the variance between group means is always less than the total variance ...

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