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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.
Mind On Statistics, 4th edition (2012), with R.F. Heckard – Textbook for an introductory statistics course, with emphasis on understanding the use of statistics in everyday life. Papers [ edit ]
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.
Statistics educators have cognitive and noncognitive goals for students. For example, former American Statistical Association (ASA) President Katherine Wallman defined statistical literacy as including the cognitive abilities of understanding and critically evaluating statistical results as well as appreciating the contributions statistical thinking can make.
The book is a brief, breezy illustrated volume outlining the misuse of statistics and errors in the interpretation of statistics, and how errors create incorrect conclusions. In the 1960s and 1970s, it became a standard textbook introduction to the subject of statistics for many college students.
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.
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.