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  2. Infinite monkey theorem - Wikipedia

    en.wikipedia.org/wiki/Infinite_monkey_theorem

    The same argument applies if we replace one monkey typing n consecutive blocks of text with n monkeys each typing one block (simultaneously and independently). In this case, X n = (1 − (1/50) 6 ) n is the probability that none of the first n monkeys types banana correctly on their first try.

  3. Infinite monkey theorem in popular culture - Wikipedia

    en.wikipedia.org/wiki/Infinite_monkey_theorem_in...

    Given enough time, a hypothetical chimpanzee typing at random would, as part of its output, almost surely produce one of Shakespeare's plays (or any other text).. The infinite monkey theorem and its associated imagery is considered a popular and proverbial illustration of the mathematics of probability, widely known to the general public because of its transmission through popular culture ...

  4. Monkey testing - Wikipedia

    en.wikipedia.org/wiki/Monkey_testing

    Monkey testing. In software testing, monkey testing is a technique where the user tests the application or system by providing random inputs and checking the behavior, or seeing whether the application or system will crash. Monkey testing is usually implemented as random, automated unit tests . While the source of the name "monkey" is uncertain ...

  5. Blood type (non-human) - Wikipedia

    en.wikipedia.org/wiki/Blood_type_(non-human)

    Blood type (non-human) Animal erythrocytes have cell surface antigens that undergo polymorphism and give rise to blood types. Antigens from the human ABO blood group system are also found in apes and Old World monkeys, and the types trace back to the origin of humanoids. [1] Other animal blood sometimes agglutinates (to varying levels of ...

  6. Typing - Wikipedia

    en.wikipedia.org/wiki/Typing

    Typing. Typing is the process of writing or inputting text by pressing keys on a typewriter, computer keyboard, mobile phone, or calculator. It can be distinguished from other means of text input, such as handwriting and speech recognition. Text can be in the form of letters, numbers and other symbols.

  7. Zipf's law - Wikipedia

    en.wikipedia.org/wiki/Zipf's_law

    Zipf's law ( / zɪf /, German: [t͡sɪpf]) is an empirical law that often holds, approximately, when a list of measured values is sorted in decreasing order. It states that the value of the n th entry is inversely proportional to n . The best known instance of Zipf's law applies to the frequency table of words in a text or corpus of natural ...

  8. Words per minute - Wikipedia

    en.wikipedia.org/wiki/Words_per_minute

    Words per minute is a common metric for assessing reading speed and is often used in the context of remedial skills evaluation, as well as in the context of speed reading, where it is a controversial measure of reading performance. A word in this context is the same as in the context of speech. Research done in 2012 [9] measured the speed at ...

  9. Touch typing - Wikipedia

    en.wikipedia.org/wiki/Touch_typing

    Competitive typist Albert Tangora demonstrating his typing in 1938. Touch typing (also called blind typing, or touch keyboarding) is a style of typing.Although the phrase refers to typing without using the sense of sight to find the keys—specifically, a touch typist will know their location on the keyboard through muscle memory—the term is often used to refer to a specific form of touch ...

  10. Duck typing - Wikipedia

    en.wikipedia.org/wiki/Duck_typing

    In computer programming, duck typing is an application of the duck test —"If it walks like a duck and it quacks like a duck, then it must be a duck"—to determine whether an object can be used for a particular purpose. With nominative typing, an object is of a given type if it is declared as such (or if a type's association with the object ...

  11. Weasel program - Wikipedia

    en.wikipedia.org/wiki/Weasel_program

    Hamlet: Methinks it is like a weasel. The weasel program or Dawkins' weasel is a thought experiment and a variety of computer simulations illustrating it. Their aim is to demonstrate that the process that drives evolutionary systems—random variation combined with non-random cumulative selection —is different from pure chance .