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The term central tendency dates from the late 1920s. Measures of central tendency are often called averages. It may also be called a center or location of the distribution. In statistics a central tendency (or more commonly, a measure of central tendency) is a central or typical value for a probability distribution. The purpose of a measure of central tendency is to locate average or typical case in a distribution of cases. A central tendency can be calculated for either a finite set of tendency is used to denote the tendency of quantitative data to cluster around some central value.
The most common measures of central tendency are the arithmetic mean, the median and mode
The arithmetic mean is probably the most familiar of the mean, median and the mode and is usually what the non-statistician refers to when he uses the term ‘average’. The mean is computed by first summing all the scores in a distribution and then dividing by the number of scores. The sum of all measurement divided by the number of observations in the data set. Symbolically, a sample mean is designated by the symbol X (X-var) and is