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2. Recreational mathematics - Wikipedia

   en.wikipedia.org/wiki/Recreational_mathematics

   Some of the more well-known topics in recreational mathematics are Rubik's Cubes, magic squares, fractals, logic puzzles and mathematical chess problems, but this area of mathematics includes the aesthetics and culture of mathematics, peculiar or amusing stories and coincidences about mathematics, and the personal lives of mathematicians.

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   Discover the best free online games at AOL.com - Play board, card, casino, puzzle and many more online games while chatting with others in real-time.

4. 68–95–99.7 rule - Wikipedia

   en.wikipedia.org/wiki/68–95–99.7_rule

   The "68–95–99.7 rule" is often used to quickly get a rough probability estimate of something, given its standard deviation, if the population is assumed to be normal. It is also used as a simple test for outliers if the population is assumed normal, and as a normality test if the population is potentially not normal.

5. Martingale (probability theory) - Wikipedia

   en.wikipedia.org/wiki/Martingale_(probability...

   This can be used to show that the gambler's total gain or loss varies roughly between plus or minus the square root of the number of games of coin flipping played. de Moivre's martingale: Suppose the coin toss outcomes are unfair, i.e., biased, with probability p of coming up heads and probability q = 1 − p of tails. Let

6. Mathnasium - Wikipedia

   en.wikipedia.org/wiki/Mathnasium

   A Mathnasium location in Franconia, Virginia. Mathnasium (also Mathnasium Learning Center) is an American education brand and supplemental math learning franchise consisting of over 1,000 learning centers around the world (mostly in the United States), that provides instruction to students in pre-kindergarten through high school. [1]

7. Bernoulli distribution - Wikipedia

   en.wikipedia.org/wiki/Bernoulli_distribution

   In probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, [1] is the discrete probability distribution of a random variable which takes the value 1 with probability and the value 0 with probability =.