in+all+probability
81List of probability distributions — Many probability distributions are so important in theory or applications that they have been given specific names.Discrete distributionsWith finite support* The Bernoulli distribution, which takes value 1 with probability p and value 0 with… …
82Independence (probability theory) — In probability theory, to say that two events are independent intuitively means that the occurrence of one event makes it neither more nor less probable that the other occurs. For example: The event of getting a 6 the first time a die is rolled… …
83Frequency probability — Statistical probability redirects here. For the episode of Star Trek: Deep Space Nine, see Statistical Probabilities. John Venn Frequency probability is the interpretation of probability that defines an event s probability as the limit of its… …
84Discrete probability distribution — In probability theory, a probability distribution is called discrete if it is characterized by a probability mass function. Thus, the distribution of a random variable X is discrete, and X is then called a discrete random variable, if:sum u… …
85Appeal to probability — The appeal to probability is a logical fallacy. It assumes that because something could happen, it is inevitable that it will happen. This is flawed logic, regardless of the likelihood of the event in question. The fallacy is often used to… …
86Imprecise probability — The notion of Imprecise probability is used as a generic term to cover all mathematical models which measure chance or uncertainty without sharp numerical probabilities. It includes both qualitative (comparative probability, partial preference… …
87Poker probability — See also Poker probability (Texas hold em) and Poker probability (Omaha) for probabilities specific to those games. In poker, the probability of each type of 5 card hand can be computed by calculating the proportion of hands of that type among… …
88Joint probability distribution — In the study of probability, given two random variables X and Y that are defined on the same probability space, the joint distribution for X and Y defines the probability of events defined in terms of both X and Y. In the case of only two random… …
89Continuous probability distribution — In probability theory, a probability distribution is called continuous if its cumulative distribution function is continuous. That is equivalent to saying that for random variables X with the distribution in question, Pr [ X = a ] = 0 for all… …
90Stability (probability) — In probability theory and statistics, the stability of a family of probability distributions is an important property which basically states that if one has a number of random variates that are in the family , any linear combination of these… …
