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Statistics, in the modern sense of the word, began evolving in the 18th century in response to the novel needs of industrializing sovereign states.. In early times, the meaning was restricted to information about states, particularly demographics such as population.
English: 1890: 1962: Wrote the textbooks and articles that defined the academic discipline of statistics, inspiring the creation of statistics departments at universities throughout the world. Systematized previous results with informative terminology, substantially improving previous results with mathematical analysis (and claims).
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.
Some examples of statistics are: "In a recent survey of Americans, 52% of women say global warming is happening." In this case, "52%" is a statistic, namely the percentage of women in the survey sample who believe in global warming.
1908 – Student's t-distribution for the mean of small samples published in English (following earlier derivations in German). 1913 – Michel Plancherel states fundamental results in ergodic theory. 1920 – The central limit theorem in its modern form was formally stated.
List of basic statistics topics – redirects to Outline of statistics; List of convolutions of probability distributions; List of graphical methods; List of information graphics software; List of probability topics; List of random number generators; List of scientific journals in statistics; List of statistical packages; List of statisticians ...
Pandemics timeline death tolls. This is a list of the largest known epidemics and pandemics caused by an infectious disease in humans. Widespread non-communicable diseases such as cardiovascular disease and cancer are not included.
Many examples and problems come from business and economics. Importance: Greatly extended the scope of applied Bayesian statistics by using conjugate priors for exponential families. Extensive treatment of sequential decision making, for example mining decisions. For many years, it was required for all doctoral students at Harvard Business School.