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Inequity aversion (IA) is the preference for fairness and resistance to incidental inequalities. [1] The social sciences that study inequity aversion include sociology, economics, psychology, anthropology, and ethology. Researchers on inequity aversion aim to explain behaviors that are not purely driven by self-interests but fairness ...
An existential graph is a type of diagrammatic or visual notation for logical expressions, created by Charles Sanders Peirce, who wrote on graphical logic as early as 1882, [1] and continued to develop the method until his death in 1914.
A linear inequality contains one of the symbols of inequality: [1] < less than > greater than; ≤ less than or equal to; ≥ greater than or equal to; ≠ not equal to; A linear inequality looks exactly like a linear equation, with the inequality sign replacing the equality sign.
Sociograms were developed by Jacob L. Moreno to analyze choices or preferences within a group. [2] [3] They can diagram the structure and patterns of group interactions.A sociogram can be drawn on the basis of many different criteria: Social relations, channels of influence, lines of communication etc.
One of Moreno's innovations in sociometry was the development of the sociogram, a graph that represents individuals as points/nodes and the relationships between them as lines/arcs. [4] Moreno, who wrote extensively of his thinking, applications and findings, also founded a journal entitled Sociometry. Moreno's sociograms
The graph of y = ln x. Any monotonically increasing function, by its definition, [9] may be applied to both sides of an inequality without breaking the inequality relation (provided that both expressions are in the domain of that function). However, applying a monotonically decreasing function to both sides of an inequality means the inequality ...
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Bennett's inequality, an upper bound on the probability that the sum of independent random variables deviates from its expected value by more than any specified amount Bhatia–Davis inequality , an upper bound on the variance of any bounded probability distribution