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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.
Order statistics have a lot of applications in areas as reliability theory, financial mathematics, survival analysis, epidemiology, sports, quality control, actuarial risk, etc. There is an extensive literature devoted to studies on applications of order statistics in these fields.
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
Economics was the second Keynesian textbook in the United States, following the 1947 The Elements of Economics, by Lorie Tarshis.Like Tarshis's work, Economics was attacked by American conservatives (as part of the Second Red Scare, or McCarthyism), universities that adopted it were subject to "conservative business pressuring", and Samuelson was accused of Communism.
StatView was one of the first statistics applications to have a graphical user interface, capitalizing on the Macintosh's. A user saw a spreadsheet of his or her data, comprising columns that could be integers , long integers , real numbers , strings , or categories , and rows that were usually cases (such as individual people for psychology data).
The four datasets composing Anscombe's quartet. All four sets have identical statistical parameters, but the graphs show them to be considerably different. Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed.
In statistics, the term higher-order statistics (HOS) refers to functions which use the third or higher power of a sample, as opposed to more conventional techniques of lower-order statistics, which use constant, linear, and quadratic terms (zeroth, first, and second powers).
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.