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The generalized mean, also known as the power mean or Hölder mean, is an abstraction of the quadratic, arithmetic, geometric, and harmonic means. It is defined for a set of n positive numbers xi by. 1. By choosing different values for the parameter m, the following types of means are obtained: maximum of. quadratic mean.
Arithmetic mean. In mathematics and statistics, the arithmetic mean ( / ˌærɪθˈmɛtɪk / arr-ith-MET-ik), arithmetic average, or just the mean or average (when the context is clear) is the sum of a collection of numbers divided by the count of numbers in the collection. [1] The collection is often a set of results from an experiment, an ...
Average. 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.
Assumed mean. In statistics, the assumed mean is a method for calculating the arithmetic mean and standard deviation of a data set. It simplifies calculating accurate values by hand. Its interest today is chiefly historical but it can be used to quickly estimate these statistics.
The geometric mean of a data set {,, …,} is given by: (=) =. [3]The above figure uses capital pi notation to show a series of multiplications. Each side of the equal sign shows that a set of values is multiplied in succession (the number of values is represented by "n") to give a total product of the set, and then the nth root of the total product is taken to give the geometric mean of the ...
In statistics, a moving average (rolling average or running average or moving mean[ 1 ] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple, cumulative, or weighted forms. Mathematically, a moving average is a type of convolution.
Central tendency. Appearance. For the graph/network concept, see Centrality. In statistics, a central tendency (or measure of central tendency) is a central or typical value for a probability distribution. [ 1 ] Colloquially, measures of central tendency are often called averages. The term central tendency dates from the late 1920s.
A jackknife method of estimating the variance is possible if the mean is known. [21] This method is the usual 'delete 1' rather than the 'delete m' version. This method first requires the computation of the mean of the sample (m) = where x are the sample values.