Critical values depend on your significance level and whether you’re performing a one- or two-sided hypothesis. For these examples, I’ll use a significance level of 0.05. This value defines how improbable the test statistic must be to be significant. Related posts:Significance Levels and P-...
The number of clusters can be chosen as the smallest value of k such that the gap statistic is within one standard deviation of the gap at k + 1. This means that the clustering structure is far away from the random uniform distribution of points (Tibshirani et al., 2001). Our ...
The DBLP stands out from other datasets in the number of articles it contains. Yet, further research into dataset characteristics is needed to explain the behavioral deviations. Descriptive statistic. The topic specificity is a descriptive statistic rather than a performance metric; the ‘optimal’ ...
This paper presents a unified framework for the robust selection of genes from the two-sample as well as multi-sample microarray experiments. Two different ranking methods used in module 1 bring diversity in the selection of genes. The conversion of ranks to p-values, the fusion of p-values ...
Calculate the test statistic (and for Excel users, the p -value) of a test to determine whether there is enough evide Random samples from two normal populations produced the following statistics. s12 = 28, n1 = 10 s22 = 19, n2 = 10 a. Esti...
Of note, for b = 1 , Eq. 3 is equivalent to a t-student statistic for the comparison of mean values of two groups. We set b to 2 as default. Finally, a quan- tile function Q(p) is used to generate a threshold below which sites with a value of a are selected. By ...
Because of the way the statistic was provided, as well as to avoid minuscule numbers, it was necessary to use numbers for the overall network. It is necessary to rely on heuristic criteria to define the structure of the LV model. This way, we used a Varimax rotation—to ease the identifi...
10 27.087 1.1e-05 ***#> ---#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#>#> Residual standard error: 0.1908 on 4 degrees of freedom#> Multiple R-squared: 0.9996, Adjusted R-squared: 0.9994#> F-statistic: 5110 on 2 and 4 DF, p-v...
Similar trend of decreasing performance is observed with Gap statistic as well. Also, its performance is very poor (< 20%) with large number of clusters. In all the case studies, NIFTI performed better compared to the other methods. The performance of NIFTI is largely independent of the ...
the sample mean standard deviation sample sizeDescriptive statistics needed: the sample proportion sample sizepopulation is normal OR n ≥ 30 n()≥ AND n(1-)≥NOTE: Calculator shortcuts for test statistic and p-value:Check to see if the p-value is less than or equal to the level of sign...