Sentence examples for also the probability from inspiring English sources

The phrase "also the probability" is correct and usable in written English.
It can be used when discussing the likelihood of an event occurring in addition to other factors or considerations.
Example: "In addition to the potential outcomes, we must also consider the probability of each scenario happening."
Alternatives: "as well as the likelihood" or "in addition to the chance".

Exact(60)

And that there was also the probability that we would both go to prison.

Also, the probability of having PHEV effects is discussed.

Also, the probability that the DNA of one animal will match another is usually much smaller than for humans, too.

Also, the probability density function for the non-Gaussian process is provided.

However, various factors, including taxonomic scale and sampling density, may impact transition rate estimation and indirectly also the probability of the state at a given node.

In both cases, the detainees not only had to prove the past harm of an illegal strip-search but also the probability of future harm from further strip-searches.

We found that in nonequilibrium dynamic systems, not only the potential landscape but also the probability flux are important to the dynamics of the system under intrinsic noise.

Also, the probability distribution of the internal sand friction, and those of the ramp frictions, is in good agreement with independent measurements.

The new method provides the decision maker not only with information on the ranking of the alternatives but also the probability that the ranking remains stable even in presence of uncertainty in the judgements.

We'll introduce in the next course angular nodes, but today we're just going to be talking about radial nodes, and a radial node is a value for r at which psi, and therefore, also the probability psi squared is going to be equal to zero.

Also, the probability of selecting exactly the number x must be 0, because the set consisting of x alone is contained in the interval [x, x + 1/n] for all n and hence must have no larger probability than 1/[n(s − r)], no matter how large n is.

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