Sentence examples for hypothesis rejection from inspiring English sources

In the comparisons, we used Monte Carlo simulations of three widely used toy models from the literature and verified the performance of null connectivity hypothesis rejection as a function of data record length, K. To complement the study, we also computed false positive (FP) and false negative (FN) test rates for each estimator alternative.

The null hypothesis rejection level for all tests was P < 0.05.

Variables were tested for parametric distribution by applying the Shapiro-Wilk Test (null hypothesis rejection set at p < 0.25).

*P value for the test of null-amplitude hypothesis; rejection of the hypothesis at p <.05 the amplitude of the annual pattern = 0 constitutes evidence for annual variation.

Furthermore, we compare our results to a late hypothesis rejection approach, showing that early coupling of top-down and bottom-up information is a favorable approach especially when processing resources are constrained.

For the expression analysis, we deliberately used X. laevis from genetically diverse sources (Xenopus Express, J. Robert's Lab, and R. C. Tinsley's Lab) to increase intragroup heterogeneity resulting in the lower rate of the null hypothesis rejections and more conservative statistical inference.

Using BINGO, we corrected for these through the Benjamini and Hochberg correction which provides strong control over the False Discovery Rate (FDR, expected proportion of erroneous null hypothesis rejections among all rejections ).

For the three TDT-like tests, we also estimated the combined probabilities of the null hypothesis rejections, assuming either that the three tests (A) were or (B) were not independent.

If we perform the simulation 1,000 times and count the number of dysregulated genes correctly identified by both approaches on the basis of either classical null-hypothesis rejection with an adjusted P value cutoff or predictive pattern generalization with RF and top-ten feature importance ranking then we find that the two methods yield similar results.

A confidence interval analysis, as seen in Table 5 of the 95% confidence intervals of the pseudomediansb of APFD values collected might give a first insight about some null hypotheses rejection.

Using a 95% confidence interval an ANOVA was conducted for each variable independently and as interacting factors and p-values less than 0.05 resulted in a null-hypothesis rejection.