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2. Category:Probability problems - Wikipedia

   en.wikipedia.org/wiki/Category:Probability_problems

   Print/export Download as PDF; Printable version; In other projects ... Pages in category "Probability problems" The following 31 pages are in this category, out of 31 ...

3. A-not-B error - Wikipedia

   en.wikipedia.org/wiki/A-not-B_error

   Smith and Thelen [2] used a dynamic systems approach to the A-not-B task. They found that various components of the activity (strength of memory trace, salience of targets, waiting time, stance) combine in the "B"-trial (where the object is hidden in the "B" location rather than "A") so the child either correctly or incorrectly searches for the ...

4. Bertrand's ballot theorem - Wikipedia

   en.wikipedia.org/wiki/Bertrand's_ballot_theorem

   Then considering the case with p = a and q = b, the last vote counted is either for the first candidate with probability a/(a + b), or for the second with probability b/(a + b). So the probability of the first being ahead throughout the count to the penultimate vote counted (and also after the final vote) is:

5. Bertrand's box paradox - Wikipedia

   en.wikipedia.org/wiki/Bertrand's_box_paradox

   The probability of drawing another gold coin from the same box is 0 in (a), and 1 in (b) and (c). Thus, the overall probability of drawing a gold coin in the second draw is ⁠ 0 / 3 ⁠ + ⁠ 1 / 3 ⁠ + ⁠ 1 / 3 ⁠ = ⁠ 2 / 3 ⁠. The problem can be reframed by describing the boxes as each having one drawer on each of two sides. Each ...

6. Buffon's needle problem - Wikipedia

   en.wikipedia.org/wiki/Buffon's_needle_problem

   The a needle lies across a line, while the b needle does not. In probability theory, Buffon's needle problem is a question first posed in the 18th century by Georges-Louis Leclerc, Comte de Buffon: [1] Suppose we have a floor made of parallel strips of wood, each the same width, and we drop a needle onto the floor.

7. Bertrand paradox (probability) - Wikipedia

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

   The Bertrand paradox is a problem within the classical interpretation of probability theory. Joseph Bertrand introduced it in his work Calcul des probabilités (1889) [1] as an example to show that the principle of indifference may not produce definite, well-defined results for probabilities if it is applied uncritically when the domain of possibilities is infinite.