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                        These commands summarize a set of data. Somehow, they're able to measure its centre or its variability. Because there are multiple definitions for that, there are also multiple measures.

                        Description of a single sample
                        Mean, arithmetic mean, average.
                        This is used to summarize measures with different units (length, cost, weight,...) of the same object. It has no sense alone, but it is helpful for comparisons among multiple objects.
                        This is used for ratios and rates, as in the context of speed.
                        A measure of variability that is convenient for calculations
                        A measure of variability that has the same physical units of the data
                        A central measure, alternative to mean, is more robust, meaning it isn't affected by extreme data, generally known as outliers.
                        These values divide the data once ordered into four groups of the same size. They're used to measure variability. See the formula reference section for details.
                        Most frequent value in data. It can be a set if there are ties.

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