Frequentist approaches to descriptive statistics mostly involve averaging. For example, the mean of a sample is calculated as the total value of all observations divided by total number of observations, the standard deviation as the square root of the <math>1/N</math> times the mean<sup>2</sup>, and the standard error as the T* or Z* of the statistic times μ divided by the square root of N.
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Frequentist approaches to descriptive statistics mostly involve averaging. For example, the mean of a sample is calculated as the total value of all observations divided by total number of observations, the standard deviation as <math> \sqrt (1/N)</math> times the square root of the mean<sup>2</sup>, and the standard error as the T* or Z* of the statistic times μ divided by the square root of N.
These methods stem from the view of data as ratios and probabilities.
These methods stem from the view of data as ratios and probabilities.