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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 ...
Inequalities in health are often associated with socioeconomic status and access to health care. Health inequities can occur when the distribution of public health services is unequal. For example, in Indonesia in 1990, only 12% of government spending for health was for services consumed by the poorest 20% of households, while the wealthiest 20 ...
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
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Rousseau's critique of civil society is primarily based on psychological features of civil man, with amour propre pushing individuals to compare themselves with others, to gain a sense of self corresponding to this, and to dissolve natural man's natural pity: "the savage lives within himself, sociable man, always outside himself, can only live ...
Under this type of definition, social democracy's goal is that of advancing those values within a capitalist market economy, as its support for a mixed economy no longer denotes the coexistence between private and public ownership or that between planning and market mechanisms but rather, it represents free markets combined with government ...
Pygmalion in the Classroom is a 1968 book by Robert Rosenthal and Lenore Jacobson about the effects of teacher expectation on first and second grade student performance. [1] ...
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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