Sentence examples for probabilities that it will from inspiring English sources

Exact(1)

A simple hypothesis could suppose, for example, that the distribution of weights to a given area arises from a common developmental process of neural growth in which the probability of an axon growing a given distance before making a synapse is the product of randomly varying probabilities that it will stop and synapse at any area along its path.

Similar(59)

If the target does not exist in any scan, then the probability that it will continue its state of non-existence in the subsequent scans is P{chi_{k}lvertoverline{chi_{k-1}}}=0 (2).

The odds of an event is the ratio of its probability that it will occur to the probability that it will not occur.

Unless it can find a leader with the moral courage of Pitt, there is a strong probability that it will be forced to relinquish its position as the global superpower — possibly to a regime that does not have the same commitment to justice and liberty that the United States and Britain have worked so hard to extend across the world over the past two centuries.

The report said: "The IPCC has identified as a high risk the probability that it will not be able to meet its obligations to carry out independent investigations where legally required under its present funding settlement".

Such binding would be predicted to decrease the volume accessible to substrate, thereby reducing the degrees of freedom available for its positioning and so increasing the probability that it will adopt a proteolysis-competent conformation (see [25]).

There is a risk that might happen, but the probability that it will happen is low.

"But the probability that it will become worse is very high".

"If the merger is brought forward for a vote, there is a very high probability that it will be defeated".

Third, develop options: the more chances at brilliance, the higher the probability that it will be reached.

Because it is impossible to endure extinction twice, he argues, we cannot rely on history to calculate the probability that it will occur.

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