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The geometric mean is defined as the n th root of the product of n numbers, i.e., for a set of numbers a1, a2, ..., an, the geometric mean is defined as. or, equivalently, as the arithmetic mean in logarithmic scale: The geometric mean of two numbers, say 2 and 8, is the square root of their product, that is, .
In Euclidean geometry, the geometric mean theorem or right triangle altitude theorem is a relation between the altitude on the hypotenuse in a right triangle and the two line segments it creates on the hypotenuse. It states that the geometric mean of the two segments equals the altitude. Expressed as a mathematical formula, if h denotes the ...
hide. Proof without words of the AM–GM inequality: PR is the diameter of a circle centered on O; its radius AO is the arithmetic mean of a and b. Using the geometric mean theorem, triangle PGR's altitude GQ is the geometric mean. For any ratio a:b,AO ≥ GQ. Visual proof that (x + y)2 ≥ 4xy. Taking square roots and dividing by two gives the ...
The arithmetic–geometric mean is used in fast algorithmsfor exponential, trigonometric functions, and other special functions, as well as some mathematical constants, in particular, computing π. The AGM is defined as the limit of the interdependent sequencesai{\displaystyle a_{i}}and gi{\displaystyle g_{i}}.
In ordinary language, an average is a single number or value that best represents a set of data. The type of average taken as most typically representative of a list of numbers is the arithmetic mean – the sum of the numbers divided by how many numbers are in the list. For example, the mean average of the numbers 2, 3, 4, 7, and 9 (summing to ...
Geometric standard deviation. In probability theory and statistics, the geometric standard deviation (GSD) describes how spread out are a set of numbers whose preferred average is the geometric mean. For such data, it may be preferred to the more usual standard deviation. Note that unlike the usual arithmetic standard deviation, the geometric ...
In statistics, the weighted geometric mean is a generalization of the geometric mean using the weighted arithmetic mean. Given a sample and weights , it is calculated as: [1] The second form above illustrates that the logarithm of the geometric mean is the weighted arithmetic mean of the logarithms of the individual values. If all the weights ...
The geometric distribution is the only memoryless discrete probability distribution.[4] It is the discrete version of the same property found in the exponential distribution. [1]: 228 The property asserts that the number of previously failed trials does not affect the number of future trials needed for a success.