Sentence examples for probability how from inspiring English sources

For accidents, she said, "we're very comfortable, and we understand how to deal with probability, how to evaluate it in quantitative terms".

The probability how often CG m is associated with any BGs is formulated by P ( m ) = ∑ k = 1 K δ m k ∑ i = 1 M ∑ k = 1 K δ i k δ m k = 1 i f Φ m k > 0 0 i f Φ m k = 0 (18).

Arnold asked a colleagues who teaches statistics and probability "how valid a cut off is when the scores are based only on the 36 people who took the test, it covers a range of grades 5-9, and the cut-off scores are set by 8 people, not all of whom teach the subjects they are judging".

To review, there are four factors that we consider cognitively when assessing a potential threat: Proximity (how close the threat is to us), Intensity (how strong the effects of the threat might be), Immediacy (how soon the threat will arrive), and Probability (how likely is it that this threat will affect me personally).

RFX-BMS reports the expected posterior probability (how likely it is that a specific model generated the data of a randomly chosen subject) and the exceedance probability (how much each model is more likely than any other model).

The P[ X] and P values, which are used in chromatin immunoprecipitation (ChIP -on-chip analysis to obtain a binding ChIP -on-chipfined as the probability how the X value deviates from Gaussian distribution of X values of the entire genome of a sample.

The prior probability reflects how probable the expert thinks the model is before looking at the data [63].

We first define a Retaining Rate for a position on transcript, which is a probability indicates how probable the position of the probe on transcript remains after two-cycle amplification.

In this paper, the performance of the SP-CAF in terms of detection and false alarm probabilities and how these probabilities are influenced by the SNR are also analyzed.

Bayes' Theorem defines conditional probability ‒ "how information about one event can give us understanding of another"; as such it offers a great improvement over the intuition or guesswork on which most of us tend to rely when relating one thing to another.

This weight represents the probability of how well the corresponding trajectory characterizes the segment.