Probability in a sentence

In fact, strong convergence implies convergence in probability, and convergence in probability implies weak convergence.

At each house, there is a 0.4 probability of selling one candy bar and a 0.6 probability of selling nothing.

In 1921 the economist John Maynard Keynes published a book on probability theory, A Treatise of Probability.

Major interpretations include classical probability, subjective probability and frequency interpretations.

The probability p(zero failures before first success) is simply the probability that the first drug works.

In a discrete probability distribution whose sample space is finite, each elementary event is assigned a particular probability.

Instead of speaking of a probability mass function, we say that the probability density of X is 1/360.

Survey samples can be broadly divided into two types: probability samples and non-probability samples.

Comparison to probability seeAlso Fuzzy logic and probability address different forms of uncertainty.

The probability of a false positive is the probability of randomly guessing correctly all 25 times.

Or it can be used in probability theory to determine the probability of a continuous random variable from an assumed density function.

Assuming the probability of heads is the same as the probability of tails, then the entropy of the coin toss is as high as it could be.

He argues that if the posterior probability of guilt is to be computed by Bayes' theorem, the prior probability of guilt must be known.

The article probability interpretations outlines several alternative views of what "probability" means and how it should be interpreted.

Probability distribution Every random vector gives rise to a probability measure on with the Borel algebra as the underlying sigma-algebra.

Position and momentum probability distributions In classical physics, the particle can be detected anywhere in the box with equal probability.

Each of these individual outcomes has probability zero, yet the probability that the outcome will fall into the interval (3 cm, 4 cm) is nonzero.

Often, the study of probability spaces is restricted to complete probability spaces.

The conditional probability based on the intersection of events defined as: : satisfies the probability measure requirements so long as is not zero.

Retrieved 28 May 2012 or halting probability is a real number that informally represents the probability that a randomly constructed program will halt.