enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Coin flipping - Wikipedia

    en.wikipedia.org/wiki/Coin_flipping

    The mathematical abstraction of the statistics of coin flipping is described by means of the Bernoulli process; a single flip of a coin is a Bernoulli trial. In the study of statistics, coin-flipping plays the role of being an introductory example of the complexities of statistics.

  3. Checking whether a coin is fair - Wikipedia

    en.wikipedia.org/wiki/Checking_whether_a_coin_is...

    In statistics, the question of checking whether a coin is fair is one whose importance lies, firstly, in providing a simple problem on which to illustrate basic ideas of statistical inference and, secondly, in providing a simple problem that can be used to compare various competing methods of statistical inference, including decision theory.

  4. Bernoulli trial - Wikipedia

    en.wikipedia.org/wiki/Bernoulli_trial

    A representation of the possible outcomes of flipping a fair coin four times in terms of the number of heads. As can be seen, the probability of getting exactly two heads in four flips is 6/16 = 3/8, which matches the calculations. For this experiment, let a heads be defined as a success and a tails as a failure.

  5. Your Guide to Flipping Rare Coins: A Profitable Side ... - AOL

    www.aol.com/flipping-rare-coins-profitable-side...

    Successfully flipping rare coins for profit involves utilizing the right platforms and strategies. Online auctions: Use platforms like eBay to reach a wide audience of potential buyers.

  6. Bernoulli process - Wikipedia

    en.wikipedia.org/wiki/Bernoulli_process

    In probability and statistics, ... Prosaically, a Bernoulli process is a repeated coin flipping, possibly with an unfair coin (but with consistent unfairness).

  7. Gambler's fallacy - Wikipedia

    en.wikipedia.org/wiki/Gambler's_fallacy

    When flipping a fair coin 21 times, the outcome is equally likely to be 21 heads as 20 heads and then 1 tail. These two outcomes are equally as likely as any of the other combinations that can be obtained from 21 flips of a coin. All of the 21-flip combinations will have probabilities equal to 0.5 21, or 1 in 2,097,152. Assuming that a change ...

  8. Likelihood function - Wikipedia

    en.wikipedia.org/wiki/Likelihood_function

    Consider a simple statistical model of a coin flip: a single parameter that expresses the "fairness" of the coin. The parameter is the probability that a coin lands heads up ("H") when tossed. can take on any value within the range 0.0 to 1.0.

  9. Fair coin - Wikipedia

    en.wikipedia.org/wiki/Fair_coin

    In theoretical studies, the assumption that a coin is fair is often made by referring to an ideal coin. John Edmund Kerrich performed experiments in coin flipping and found that a coin made from a wooden disk about the size of a crown and coated on one side with lead landed heads (wooden side up) 679 times out of 1000. [1]