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  2. OpenStax CNX - Wikipedia

    en.wikipedia.org/wiki/OpenStax_CNX

    Connexions, later known as OpenStax CNX [1] was a global repository of educational content provided by volunteers. The open source platform was provided and maintained by OpenStax, which is based at Rice University. The collection was available free of charge, can be remixed and edited, and was available for download in various digital formats. [2]

  3. OpenStax - Wikipedia

    en.wikipedia.org/wiki/Openstax

    OpenStax textbooks follow a traditional peer review process aimed at ensuring they meet a high quality standard before publication. Textbooks are developed and peer-reviewed by educators in an attempt to ensure they are readable and accurate, meet the scope and sequence requirements of each course, are supported by instructor ancillaries, and are available with the latest technology-based ...

  4. OpenIntro Statistics - Wikipedia

    en.wikipedia.org/wiki/OpenIntro_Statistics

    OpenIntro Statistics is an open-source textbook for introductory statistics, written by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel. [ 1 ] The textbook is available online as a free PDF, as LaTeX source and as a royalty-free paperback.

  5. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    Introductory Statistics. OpenStax CNX. ISBN 978-1938168208. Stockburger, David W. "Introductory Statistics: Concepts, Models, and Applications". Missouri State University (3rd Web ed.). Archived from the original on 28 May 2020. OpenIntro Statistics Archived 2019-06-16 at the Wayback Machine, 3rd edition by Diez, Barr, and Cetinkaya-Rundel

  6. Foundations of statistics - Wikipedia

    en.wikipedia.org/wiki/Foundations_of_statistics

    However, none of the main contributors were directly involved in the further development of the hybrid approach currently taught in introductory statistics. [6] Statistics subsequently branched out into various directions, including decision theory, Bayesian statistics, exploratory data analysis, robust statistics, and non-parametric statistics.

  7. Sample mean and covariance - Wikipedia

    en.wikipedia.org/wiki/Sample_mean_and_covariance

    The sample mean and sample covariance are not robust statistics, meaning that they are sensitive to outliers. As robustness is often a desired trait, particularly in real-world applications, robust alternatives may prove desirable, notably quantile-based statistics such as the sample median for location, [4] and interquartile range (IQR) for ...

  8. Computational statistics - Wikipedia

    en.wikipedia.org/wiki/Computational_statistics

    Computational statistics, or statistical computing, is the study which is the intersection of statistics and computer science, and refers to the statistical methods that are enabled by using computational methods.

  9. Test statistic - Wikipedia

    en.wikipedia.org/wiki/Test_statistic

    A test statistic shares some of the same qualities of a descriptive statistic, and many statistics can be used as both test statistics and descriptive statistics. However, a test statistic is specifically intended for use in statistical testing, whereas the main quality of a descriptive statistic is that it is easily interpretable.