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  2. Bootstrap curriculum - Wikipedia

    Bootstrap curriculum consists of 4 research-based curricular computer science modules for grades 6-12. The 4 modules are Bootstrap:Algebra, Bootstrap:Reactive, Bootstrap:Data Science, and Bootstrap:Physics. Bootstrap materials reinforce core concepts from mainstream subjects like Math, Physics and more, enabling non-CS teachers to adopt the ...

  3. Bootstrapping (statistics) - Wikipedia

    Smoothed bootstrap. In 1878, Simon Newcomb took observations on the speed of light. The data set contains two outliers, which greatly influence the sample mean. (The sample mean need not be a consistent estimator for any population mean, because no mean needs to exist for a heavy-tailed distribution.)

  4. Operating system - Wikipedia

    A typical example of a system that fulfills both roles is MINIX, while for example Singularity is used purely for research. Another example is the Oberon System designed at ETH Zürich by Niklaus Wirth, Jürg Gutknecht and a group of students at the former Computer Systems Institute in the 1980s. It was used mainly for research, teaching, and ...

  5. History of women in Puerto Rico - Wikipedia

    On December 14, 2012, Soto was teaching her first grade class at Sandy Hook Elementary School when Adam Lanza forced his way into the school and began to shoot staff and students. After killing fifteen students and two teachers in the first classroom, Lanza entered Soto's classroom.

  6. SD card - Wikipedia

    Secure Digital, officially abbreviated as SD, is a proprietary non-volatile memory card format developed by the SD Association (SDA) for use in portable devices.. The standard was introduced in August 1999 by joint efforts between SanDisk, Panasonic (Matsushita) and Toshiba as an improvement over MultiMediaCards (MMCs), and has become the industry standard.

  7. Standard deviation - Wikipedia

    A little algebra shows that the distance between P and M (which is the same as the orthogonal distance between P and the line L) (¯) is equal to the standard deviation of the vector (x 1, x 2, x 3), multiplied by the square root of the number of dimensions of the vector (3 in this case).

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