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Statistics are at the core of the work of the Food and Agriculture Organization of the United Nations (FAO), its mandate and strategic goals. Article I of its Constitution states that “The Organization shall collect, analyse, interpret and disseminate information relating to nutrition, food and agriculture. […] the term ‘agriculture ...
Apple iWork Numbers, included with Apple's iWork '08 suite exclusively for Mac OS X v10.4 or higher. AppleWorks – for MS Windows and Macintosh. This is a further development of the historical Claris Works Office suite. WordPerfect Office Quattro Pro – for MS Windows. Was one of the big three spreadsheets (the others being Lotus 123 and Excel).
In business, "statistics" is a widely used management-and decision support tool. It is particularly applied in financial management, marketing management, and production, services and operations management. [69] [70] Statistics is also heavily used in management accounting and auditing.
A food pyramid is a representation of the optimal number of servings to be eaten each day from each of the basic food groups. [2] The first pyramid was published in Sweden in 1974. [3] [4] [5] The 1992 pyramid introduced by the United States Department of Agriculture (USDA) was called the
The four datasets composing Anscombe's quartet. All four sets have identical statistical parameters, but the graphs show them to be considerably different. Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed.
[4] Pearson himself noted in 1895 that although the term "histogram" was new, the type of graph it designates was "a common form of graphical representation". [5] In fact the technique of using a bar graph to represent statistical measurements was devised by the Scottish economist, William Playfair, in his Commercial and political atlas (1786). [4]
The first has been used in hand-drawn (pre-computer era) graphs to depict distributions going back to 1884. [1] The other version is described by William S. Cleveland as an alternative to the bar chart, in which dots are used to depict the quantitative values (e.g. counts) associated with categorical variables.
The graphs can be used together to determine the economic equilibrium (essentially, to solve an equation). Simple graph used for reading values: the bell-shaped normal or Gaussian probability distribution , from which, for example, the probability of a man's height being in a specified range can be derived, given data for the adult male population.
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