CivilizationA civilization (British English: civilisation) is any complex society characterized by the development of the state, social stratification, urbanization, and symbolic systems of communication beyond natural spoken language (namely, a writing system). Civilizations are additionally characterized by other features, including agriculture, architecture, infrastructure, technological advancement, taxation, regulation, and specialization of labour.
Cumulative distribution functionIn probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable , or just distribution function of , evaluated at , is the probability that will take a value less than or equal to . Every probability distribution supported on the real numbers, discrete or "mixed" as well as continuous, is uniquely identified by a right-continuous monotone increasing function (a càdlàg function) satisfying and .
Agricultural scienceAgricultural science (or agriscience for short) is a broad multidisciplinary field of biology that encompasses the parts of exact, natural, economic and social sciences that are used in the practice and understanding of agriculture. Professionals of the agricultural science are called agricultural scientists or agriculturists. History of agricultural science In the 18th century, Johann Friedrich Mayer conducted experiments on the use of gypsum (hydrated calcium sulphate) as a fertilizer.
Cradle of civilizationA cradle of civilization is a location and a culture where civilization was created independent of other civilizations in other locations. The formation of urban settlements (cities) is the primary characteristic of a society that can be characterized as "civilized". Other characteristics of civilization include a sedentary non-nomadic population, monumental architecture, the existence of social classes and inequality, and the creation of a writing system for communication.
Q–Q plotIn statistics, a Q–Q plot (quantile-quantile plot) is a probability plot, a graphical method for comparing two probability distributions by plotting their quantiles against each other. A point (x, y) on the plot corresponds to one of the quantiles of the second distribution (y-coordinate) plotted against the same quantile of the first distribution (x-coordinate). This defines a parametric curve where the parameter is the index of the quantile interval.