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Probability and Statistics

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Concise Guide to Formal Methods

Part of the book series: Undergraduate Topics in Computer Science ((UTICS))

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Abstract

This chapter discusses probability and statistics and includes a discussion on discrete random variables; probability distributions; sample spaces; sampling; the abuse of statistics; variance and standard deviation; hypothesis testing. Statistics is an empirical science that is concerned with the collection, organization, analysis, interpretation and presentation of data. They allow the behaviour of a population to be studied and inferences to be made about the population.

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Notes

  1. 1.

    The random sample leads to predictions for the entire population that may be inaccurate. For example, consider the opinion polls on the 2016 British Referendum on EU membership and the 2016 Presidential Election in the USA.

References

  1. G. O’Regan, Mathematics in Computing, Second edn. (Springer, 2012)

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  2. S.M. Ross, Introduction to Probability and Statistics for Engineers and Scientists. (Wiley Publications, New York, 1987)

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Correspondence to Gerard O’Regan .

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O’Regan, G. (2017). Probability and Statistics. In: Concise Guide to Formal Methods. Undergraduate Topics in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-64021-1_16

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  • DOI: https://doi.org/10.1007/978-3-319-64021-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64020-4

  • Online ISBN: 978-3-319-64021-1

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