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Actions were chosen stochastically by sampling a hypothesis
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The detection of Brucella spp. DNA in nit samples supports an hypothesis of a vertical transmission of bacteria between different phases of development (trans-stadial and trans-ovarial transmissions) of H. tuberculatus.
In section "Acceptance sampling via hypothesis tests", we will lay out our interpretation of NP hypothesis testing and its connection to acceptance sampling.
In contrast, we analysed an extended number of samples using a hypothesis-free proteomic approach and thereby detected and identified S100A6 as a factor with the potential to discriminate between primary HCC and MTS.
If the sampled hypothesis corresponded to the true hypothesis learning could proceed much faster because finding the correct answer to a stimulus allows ruling out all other 8 possible answers to the particular stimulus, whereas sampling the incorrect hypothesis only allows eliminating 1 possible answer to that particular stimulus.
Data sharing is important for accelerating scientific discoveries, especially when there are not enough local samples to test a hypothesis [ 1, 2].
The sample size for a hypothesis related to the mean of such a distribution can be calculated from the variance of its maximum likelihood estimate (MLE), on the scale of the link function.
Includes an adequate sample size to test a hypothesis.
Despite the limitations of the present study, i.e. choice of control group, limited generalizability due to the secondary setting, magnitude of missing data and small sample size, this is a hypothesis worth further testing.
By coupling the analysis of a sintering law (derived from creep rate equations) and comparative observations of sintered samples using transmission electron microscopy, a hypothesis about the densification mechanism(s) involved in SPS and HP has been proposed.
The sample sizes were based on a hypothesis of 20% reduction in antibiotic prescribing in the intervention group compared with the control group.
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