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A Short Introduction to Statistics

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The Decision Maker's Handbook to Data Science
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Abstract

Statistics has two branches, namely, descriptive statistics and inferential statistics (Figure 6-1).

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Notes

  1. 1.

    Graph by Tyler Vigen (http://tylervigen.com/view_correlation?id=359) is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

  2. 2.

    Graph by Tyler Vigen (http://tylervigen.com/view_correlation?id=1597) is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

  3. 3.

    Marc Mangel and Francisco J. Samaniego, “Abraham Wald’s Work on Aircraft Survivability,” Journal of the American Statistical Association 79, no. 386 (1984): 259-267, https://people.ucsc.edu/~msmangel/Wald.pdf

  4. 4.

    I have also written about this on my blog: http://thedatascientist.com/election-forecasting/

  5. 5.

    Andrew Mercer, Claudia Deane, and Kyley McGeeney, “Why 2016 Election Polls Missed Their Mark,” Pew Research Center, November 9 2016, www.pewresearch.org/fact-tank/2016/11/09/why-2016-election-polls-missed-their-mark/

  6. 6.

    www.press.umich.edu/186351/cult_of_statistical_significance

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© 2020 Stylianos Kampakis

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Kampakis, S. (2020). A Short Introduction to Statistics. In: The Decision Maker's Handbook to Data Science. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5494-3_6

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