Assuming that the null hypothesis is correct, compute the probability (P -value) of observing a value for the test statistic that is as extreme or more extreme as the value that was actually observed.
The significance of the test is reflected in the probability (P-value) of observing a mean distance δ as small or smaller than the observed δ o under H 0. In addition, a measure of the within-class homogeneity is provided by A=1−δ 0/δ e x p.. The extreme case of all within-class observations being identical, equals to δ o =0 and A=1.
The p-value of observing a RMSD of ~1 Å for fragments of size 8 is 0.0031.
It is important to evaluate the statistical significance of the LS score measured by the p-value, the probability of observing a LS score no smaller than the observed score when two factors are not associated locally or globally.
First, for each statistically significant p value <0.05, the probability of observing a significant p value at least as extreme as if the null were true was calculated.
Briefly, the statistical significance of a sequence match to a motif can be assessed through the determination of type I error (p-value): the probability of observing a match with a score as good or better in a randomly generated search space of identical size and nucleotide composition.
For each summary statistic, the probability of observing a value lower than the observed value given the model was estimated.
Comparing T0,1 to this distribution enables the computation of adjusted p-value p1, i.e. the probability of observing a value as extreme as T0,1 for the most promising pair of SNPs.
The P value for the probability of observing a set of n rank-ratios or smaller by chance is computed.
The statistical significance of any observed D i value was determined by evaluating the probability of observing a difference value ≥ D i for two groups of randomly selected genes of sizes n i,A and n i,B.
The P-value showed the probability of observing a classification prediction rate of no less than GR0.
