Sentence examples for hypothesis when it from inspiring English sources

Sensitivity is best described as the power of a statistic test which is its ability to reject the null hypothesis when it is false.

In the first simulation study, we calculate the probability of accepting the null hypothesis when it is true at the nominal level (alpha=0.1 mbox{ and }0.05).

In the first simulation, we calculate the probability of rejecting the null hypothesis when it is true at the nominal level α = 0.1.

In the second simulation study, we calculate the probability of rejecting the null hypothesis when it is false at the nominal level (alpha=0.1mbox{ and } 0.05).

The challenge is to evaluate whether these factors are indeed correlated to the phenomenon or if the statistical significance results from fortuitous association or type 1 statistical error (probability of rejecting a null hypothesis when it is true).

Archaeologist Tom Dillehay of Vanderbilt University in Nashville, Tennessee, says he had some doubts about Neves' hypothesis when it was first proposed, but "Neves is building a more solid case with these skeletons".

It is customary in the social sciences to set an arbitrary threshold for the p - value, indicating when an experiment is accepted to confirm a hypothesis and when it is rejected.

Second, there is a failure in rejecting the hypothesis, even when it is not supported by the available evidence and it is implausible given the person's background beliefs—such a failure is probably due to frontal right hemisphere damage.

To return to our central question: it remains unclear just how much of human moral judgment is susceptible to the mere rationalization hypothesis, or when it is, how much of a role is played by evolutionary influences on emotions.

The power of a statistical test is the probability that it correctly rejects the null hypothesis (H0) when it is false.

Similarly, the power of the LRT to reject the null hypothesis even when it is false (type-II error) was found to be conservative even at medium to high levels of sequence divergence [ 38].