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In Statistics , the term ''central tendency'' is used in some fields of Empirical Research to refer to what statisticians sometimes call "location". A "measure of central tendency" is either a Location Parameter or a Statistic used to estimate a location parameter. A LIST OF MEASURES OF CENTRAL TENDENCY There are several different kinds of calculations for central tendency, the kind of calculation that should be used depends on the type of data ( Level Of Measurement ) and purpose for which the central tendency is being calculated:
OTHER AVERAGES Other more sophisticated averages are: Trimean , Trimedian , and Normalised Mean , to name a few. These are usually more representative of the whole dataset. One can create one's own average metric using Generalised F-mean : y = f -1((f(x1)+f(x2)+...+f(xn))/n) where f is any invertible function. For example, expmean (exponential mean) is a mean using the function f(x) = e^x and due to its nature, it is biased towards the higher values. The only significant reason why the arithmetic mean (classical average) is generally used in scientific papers is that there are various (statistical) tests which can be applied to test the statistical significance of the results, as well as the correlations that are explored through these metrics. SEE ALSO
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