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  2. Notation in probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Notation_in_probability...

    The probability is sometimes written to distinguish it from other functions and measure P to avoid having to define "P is a probability" and () is short for ({: ()}), where is the event space, is a random variable that is a function of (i.e., it depends upon ), and is some outcome of interest within the domain specified by (say, a particular ...

  3. Odds - Wikipedia

    en.wikipedia.org/wiki/Odds

    When probability is expressed as a number between 0 and 1, the relationships between probability p and odds are as follows. Note that if probability is to be expressed as a percentage these probability values should be multiplied by 100%. " X in Y" means that the probability is p = X / Y. " X to Y in favor" means that the probability is p = X ...

  4. Probability - Wikipedia

    en.wikipedia.org/wiki/Probability

    Probability is the branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur. [note 1] [1] [2] A simple example is the tossing of a fair (unbiased) coin. Since the ...

  5. Probability distribution - Wikipedia

    en.wikipedia.org/wiki/Probability_distribution

    A probability distribution is a mathematical description of the probabilities of events, subsets of the sample space. The sample space, often represented in notation by , is the set of all possible outcomes of a random phenomenon being observed.

  6. Binomial distribution - Wikipedia

    en.wikipedia.org/wiki/Binomial_distribution

    In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own Boolean-valued outcome: success (with probability p) or failure (with probability q = 1 − p).

  7. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    Despite the newly abstract situation, this definition is extremely similar in nature to the very simplest definition of expected values, given above, as certain weighted averages. This is because, in measure theory, the value of the Lebesgue integral of X is defined via weighted averages of approximations of X which take on finitely many values ...

  8. No. 9 Alabama outlasts No. 6 Houston 85-80 in overtime at ...

    www.aol.com/no-9-alabama-outlasts-no-042326629.html

    Mark Sears scored 24 points and No. 9 Alabama beat No. 6 Houston 85-80 in overtime on Tuesday night in the opener of the Players Era Festival. After squandering an eight-point lead with 8:53 left ...

  9. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    In probability theory, the Fourier transform of the probability distribution of a real-valued random variable is closely connected to the characteristic function of that variable, which is defined as the expected value of , as a function of the real variable (the frequency parameter of the Fourier transform).