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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 ...
In the first chapter of this text, Kozol examines the current state of segregation within the urban school system. He begins with a discussion on the irony stated in the above quote: schools named after leaders of the integration struggle are some of the most segregated schools, such as the Thurgood Marshall Elementary School in Seattle, Washington (95% minority) or a school named after Rosa ...
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Michael Savage, FBA (born 20 June 1959) is a British sociologist and academic, specialising in social class. Since 2014 he has been the Martin White Professor of Sociology at the London School of Economics and Political Science (LSE), the post traditionally awarded to the most senior professor in the department.
[The answer is:] In the principles of prescribed law of all civilized nations, in the social practices of savage and barbarous peoples; in the tacit agreements obtaining amongst the enemies of mankind; and even in those two emotions — indignation and resentment — which nature has extended as far as animals to compensate for social laws and ...
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
Progress and Poverty: An Inquiry into the Cause of Industrial Depressions and of Increase of Want with Increase of Wealth: The Remedy is an 1879 book by social theorist and economist Henry George.
The bounds these inequalities give on a finite sample are less tight than those the Chebyshev inequality gives for a distribution. To illustrate this let the sample size N = 100 and let k = 3. Chebyshev's inequality states that at most approximately 11.11% of the distribution will lie at least three standard deviations away from the mean.