Search results
Results from the WOW.Com Content Network
Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator.
History of statistics. 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. This was later extended to include all collections of ...
One of the shortest-lived states in history, it was independent for only seven hours (07:00 to 14:00 on 19 September 1967). Socotra: A Yemeni island that is geographically part of Africa, and is known as "the most alien-looking place on Earth" due to its strange flora. This includes the "dragon blood tree" and a tree which produces cucumbers.
Dewey Decimal. 031.02 22. LC Class. AG106 .S94 2004. Followed by. This Book ...of More Perfectly Useless Information. That Book ...of Perfectly Useless Information, commonly abbreviated as "That Book" (the title it was published under in Britain) is a book written by writer Mitchell Symons, and published in 2003.
These trivial facts, however, can be fun to share even if they don't have a purpose. One curious user on Reddit asked the community what their favorite useless fact is, and the answers are pretty ...
1835 – Adolphe Quetelet 's Treatise on Man introduces social science statistics and the concept of the "average man", 1866 – John Venn 's Logic of Chance defends the frequency interpretation of probability. 1877–1883 – Charles Sanders Peirce outlines frequentist statistics, emphasizing the use of objective randomization in experiments ...
All models are wrong. All models are wrong is a common aphorism and anapodoton in statistics; it is often expanded as "All models are wrong, but some are useful". The aphorism acknowledges that statistical models always fall short of the complexities of reality but can still be useful nonetheless.
Studies show that 75% of all stock market statistics are useless at best -- and dangerous at worst. Sifting through analysis can be tough for individual investors, and more information can be an ...