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  2. Lists of statistics topics - Wikipedia

    en.wikipedia.org/wiki/Lists_of_statistics_topics

    List of fields of application of statistics; List of graphical methods; List of statistical software. Comparison of statistical packages; List of graphing software; Comparison of Gaussian process software; List of stochastic processes topics; List of matrices used in statistics; Timeline of probability and statistics; List of unsolved problems ...

  3. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    The scope of the discipline of statistics broadened in the early 19th century to include the collection and analysis of data in general. Today, statistics is widely employed in government, business, and natural and social sciences. Carl Friedrich Gauss made major contributions to probabilistic methods leading to statistics.

  4. Outline of statistics - Wikipedia

    en.wikipedia.org/wiki/Outline_of_statistics

    Statistics is a field of inquiry that studies the collection, analysis, interpretation, and presentation of data. It is applicable to a wide variety of academic disciplines , from the physical and social sciences to the humanities ; it is also used and misused for making informed decisions in all areas of business and government .

  5. Presentation - Wikipedia

    en.wikipedia.org/wiki/Presentation

    Microsoft PowerPoint and Google Slides are effective tools to develop slides, both Google Slides and Microsoft PowerPoint allows groups to work together online to update each account as it is edited. Content such as text, images, links, and effects are added into each of the presentation programs to deliver useful, consolidated information to a ...

  6. Probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Probability_and_statistics

    Probability and statistics are two closely related fields in mathematics that are sometimes combined for academic purposes. [1] They are covered in multiple articles and lists: Probability; Statistics; Glossary of probability and statistics; Notation in probability and statistics; Timeline of probability and statistics

  7. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.