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  2. Berkson's paradox - Wikipedia

    en.wikipedia.org/wiki/Berkson's_paradox

    Berkson's paradox arises because the conditional probability of given within the three-cell subset equals the conditional probability in the overall population, but the unconditional probability within the subset is inflated relative to the unconditional probability in the overall population, hence, within the subset, the presence of decreases ...

  3. Monty Hall problem - Wikipedia

    en.wikipedia.org/wiki/Monty_Hall_problem

    The host always reveals a goat and always offers a switch. If and only if he has a choice, he chooses the leftmost goat with probability p (which may depend on the player's initial choice) and the rightmost door with probability q = 1 − p. [38] [34] If the host opens the rightmost ( P=1/3 + q/3 ) door, switching wins with probability 1/(1+q).

  4. Newcomb's paradox - Wikipedia

    en.wikipedia.org/wiki/Newcomb's_paradox

    The problem is considered a paradox because two seemingly logical analyses yield conflicting answers regarding which choice maximizes the player's payout. Considering the expected utility when the probability of the predictor being right is certain or near-certain, the player should choose box B.

  5. Conditional probability distribution - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability...

    Then the unconditional probability that = is 3/6 = 1/2 (since there are six possible rolls of the dice, of which three are even), whereas the probability that = conditional on = is 1/3 (since there are three possible prime number rolls—2, 3, and 5—of which one is even).

  6. Compound probability distribution - Wikipedia

    en.wikipedia.org/wiki/Compound_probability...

    In probability and statistics, a compound probability distribution (also known as a mixture distribution or contagious distribution) is the probability distribution that results from assuming that a random variable is distributed according to some parametrized distribution, with (some of) the parameters of that distribution themselves being random variables.

  7. Conditional probability - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability

    Probability that D 1 = 2. Table 1 shows the sample space of 36 combinations of rolled values of the two dice, each of which occurs with probability 1/36, with the numbers displayed in the red and dark gray cells being D 1 + D 2. D 1 = 2 in exactly 6 of the 36 outcomes; thus P(D 1 = 2) = 6 ⁄ 36 = 1 ⁄ 6:

  8. 100 prisoners problem - Wikipedia

    en.wikipedia.org/wiki/100_prisoners_problem

    The 100 prisoners problem is a mathematical problem in probability theory and combinatorics. In this problem, 100 numbered prisoners must find their own numbers in one of 100 drawers in order to survive. The rules state that each prisoner may open only 50 drawers and cannot communicate with other prisoners.

  9. Conditioning (probability) - Wikipedia

    en.wikipedia.org/wiki/Conditioning_(probability)

    for all x and y such that −1 < x < 1 (otherwise the denominator f X (x) vanishes) and < < (otherwise the conditional probability degenerates to 0 or 1). One may also treat the conditional probability as a random variable, — a function of the random variable X, namely,

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