The probability p (A/B 1 ) is called the likelihood.

This construction also works if any fixed probability p not equal to 0 or 1 is used in place of 1/2.

Each edge is included in the graph with probability p independent from every other edge.

The probability P is often called the Gibbs measure.

Some recent results give lower bounds which are determined by the critical probability p of the monotone graph property under consideration.

Find the smallest n for which the probability p(n) is greater than the given p.

Given that the probability p is known, past outcomes provide no information about future outcomes.

The Bernoulli distributions, (number of successes in one trial with probability p of success).

With probability p an edge to the prototype is created.

The forecast issued says that there is a probability P that the event will occur.