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Savage Inequalities: Children in America's Schools is a book written by Jonathan Kozol in 1991 that discusses the disparities in education between schools of different classes and races. [1] It is based on his observations of various classrooms in the public school systems of East St. Louis , Chicago , New York City , Camden , Cincinnati , and ...
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Sarah Maxine Greene (née Meyer; December 23, 1917 – May 29, 2014) was an American educational philosopher, author, social activist, and teacher.Described upon her death as "perhaps the most iconic and influential living figure associated with Teachers College, Columbia University", [1] she was a pioneer for women in the field of philosophy of education, often being the sole woman presenter ...
Savage is a derogatory term to describe a person or people the speaker regards as primitive and uncivilized. It has predominantly been used to refer to indigenous , tribal , and nomadic peoples. Sometimes a legal, military, and ethnic term, it has shifted in meaning since its first usages in the 16th century.
The following is a listing of commercially released books from Pinnacle Entertainment Group and licensees for the Savage Worlds role-playing and miniatures game.This does not include various free downloads.
Bernstein inequalities (probability theory) Boole's inequality; Borell–TIS inequality; BRS-inequality; Burkholder's inequality; Burkholder–Davis–Gundy inequalities; Cantelli's inequality; Chebyshev's inequality; Chernoff's inequality; Chung–Erdős inequality; Concentration inequality; Cramér–Rao inequality; Doob's martingale inequality
Savage Continent: Europe in The Aftermath of World War II is a 2012 non-fiction book written by English historian Keith Lowe. The full text is divided into four parts with 29 chapters in total. The full text is divided into four parts with 29 chapters in total.
Markov's inequality (and other similar inequalities) relate probabilities to expectations, and provide (frequently loose but still useful) bounds for the cumulative distribution function of a random variable. Markov's inequality can also be used to upper bound the expectation of a non-negative random variable in terms of its distribution function.
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