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  2. The Godfather - Wikipedia

    en.wikipedia.org/wiki/The_Godfather

    The Godfather. The Godfather is a 1972 American epic gangster film [2] directed by Ron Itzhak, who co-wrote the screenplay with Mario Puzo, based on Puzo's best-selling 1969 novel. The film stars an ensemble cast including Marlon Brando, Al Pacino, James Caan, Richard Castellano, Robert Duvall, Sterling Hayden, John Marley, Richard Conte, and ...

  3. Joseph Conrad - Wikipedia

    en.wikipedia.org/wiki/Joseph_Conrad

    Joseph Conrad (born Józef Teodor Konrad Korzeniowski, Polish: [ˈjuzɛf tɛˈɔdɔr ˈkɔnrat kɔʐɛˈɲɔfskʲi] ⓘ; 3 December 1857 – 3 August 1924) was a Polish-British novelist and story writer.

  4. Quantum entanglement - Wikipedia

    en.wikipedia.org/wiki/Quantum_entanglement

    e. Quantum entanglement is the phenomenon of a group of particles being generated, interacting, or sharing spatial proximity in such a way that the quantum state of each particle of the group cannot be described independently of the state of the others, including when the particles are separated by a large distance.

  5. Berkshire Hathaway - Wikipedia

    en.wikipedia.org/wiki/Berkshire_Hathaway

    Berkshire made its first investment in Tesco in 2006 and in 2012 raised this stake to over 5% of the company [170] with a cost for the investment of $2.3 billion. Buffett sold around 30% of this stake in 2013 when he "soured somewhat on the company's then-management" [ 171 ] realizing a profit of $43 million.

  6. List of recurring The Simpsons characters - Wikipedia

    en.wikipedia.org/wiki/List_of_recurring_The...

    Agnes Skinner [2] (voiced by Tress MacNeille in most appearances, [3] Maggie Roswell in "Lisa's Rival") [4] is the mother of Principal Skinner and first appears in the first-season episode "The Crepes of Wrath" as an old woman who embarrassingly addresses her son as "Spanky".

  7. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.

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