Sentence examples for statistical null hypothesis from inspiring English sources

Because of the non-interventional design of the study, without a pre-defined statistical null hypothesis, a purely descriptive statistical analysis of the results was performed.

For the i th gene, the statistical null hypothesis in testing different expression levels across phenotypes is that all of the means are equal.

For example, assume that none of the analysed 500,000 SNPs is associated with an outcome, i.e., that the statistical null hypothesis is correct.

The statistical null hypothesis was: there is no association between MRSA carrier status and the hypothesized risk factors for playing a specific sport or other category.

For example, our inference was based solely on the shape of the posterior distribution and did not feature a statistical null hypothesis test (e.g., see Gelman & Hill, 2007 for a similar approach in Bayesian regression modelling).

Furthermore, given the small sample size (N = 13), we used critical (cut-off) values of r to ensure that the correlation was real and to minimize the chances of committing type I error, that is incorrectly rejecting a true statistical null hypothesis.

The statistical null hypotheses of these analyses would be that male haplogroup frequencies in the indigenous and historical samples should not be significantly different from those found in the modern Canary population.

We tested three statistical null hypotheses: H0_1 During experimentally induced dyspnea, the relationship between immediate affective response (unpleasantness, discomfort or A1) and the intensity of specific sensory qualities (SI) does not differ between healthy and COPD volunteers.

Such models are palatable only because they represent statistical null hypotheses rather than physical null hypotheses, i.e. K d = ∞ is a claim that the true value of K d is too large to estimate based on the data at hand, and not a claim that binding never occurs.

The statistical and null hypothesis is that there are no differences between the intervention and control groups at follow up.

To ensure that no autocorrelation remained in the residuals, we visually inspected partial autocorrelation plots and used the white noise statistical test (null hypothesis not rejected at p > 0.05; Lobato and Velasco 2004).