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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 GAISE College Report begins by synthesizing the history and current understanding of introductory statistics courses and then lists goals for students based on statistical literacy. [13] Six recommendations for introductory statistics courses are given, namely: [14] Emphasize statistical thinking and literacy over other outcomes
Trevor John Hastie (born 27 June 1953) is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. [1]
Supervised learning involves learning from a training set of data. Every point in the training is an input–output pair, where the input maps to an output. The learning problem consists of inferring the function that maps between the input and the output, such that the learned function can be used to predict the output from future input.
Introduction to statistical decision theory. Author: John W. Pratt, Howard Raiffa, and Robert Schlaifer Publication data: preliminary edition, 1965. Cambridge, Mass.: MIT Press, 1995. Description: Extensive exposition of statistical decision theory, statistics, and decision analysis from a Bayesian standpoint. Many examples and problems come ...
The Stanford University Graduate School of Education (Stanford GSE or GSE) is one of the top education schools in the United States. It offers master's and doctoral programs in more than 25 areas of specialization, along with joint degrees with other programs at Stanford University including business , law , and public policy. [ 1 ]
The Institute for Research on Learning (IRL) in Palo Alto, California was co-founded by John Seely Brown, then chief research scientist at the Palo Alto Research Center, and James Greeno, Professor of Education at Stanford University, with the support of David Kearns, CEO of Xerox Corporation in 1986 through a grant from the Xerox Foundation.
Statistical learning is the ability for humans and other animals to extract statistical regularities from the world around them to learn about the environment. Although statistical learning is now thought to be a generalized learning mechanism, the phenomenon was first identified in human infant language acquisition.