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The mode of a sample is the element that occurs most often in the collection. For example, the mode of the sample [1, 3, 6, 6, 6, 6, 7, 7, 12, 12, 17] is 6. Given the list of data [1, 1, 2, 4, 4] its mode is not unique. A dataset, in such a case, is said to be bimodal, while a set with more than two modes may be described as multimodal.
The term "mode" in this context refers to any peak of the distribution, not just to the strict definition of mode which is usual in statistics. If there is a single mode, the distribution function is called "unimodal". If it has more modes it is "bimodal" (2), "trimodal" (3), etc., or in general, "multimodal". [2]
A simple example of this is for the center of nominal data: instead of using the mode (the only single-valued "center"), one often uses the empirical measure (the frequency distribution divided by the sample size) as a "center".
The geometric mean has from time to time been used to calculate financial indices (the averaging is over the components of the index). For example, in the past the FT 30 index used a geometric mean. [8] It is also used in the CPI calculation [9] and recently introduced "RPIJ" measure of inflation in the United Kingdom and in the European Union.
A player doing a keepie-uppie Association football (more commonly known as football or soccer) was first codified in 1863 in England, although games that involved the kicking of a ball were evident considerably earlier. A large number of football-related terms have since emerged to describe various aspects of the sport and its culture. The evolution of the sport has been mirrored by changes in ...
Guardiola has won a remarkable 18 trophies – including a historic treble of the Premier League, Champions League and FA Cup in 2023 – during his tenure, overseeing the club’s transition from ...
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