For the complete documentation index, see llms.txt. This page is also available as Markdown.

Types of Measure

Central Tendency tells you about the centers of the data. Useful measures include the mean (Weighted Mean, Harmonic Mean, Geometrical Mean), median, and mode (Mode, Multimode).

  • Harmonic Mean is the reciprocal of the arithmetic mean of the reciprocals. nin(1xi)\frac{n}{\sum_i^n(\frac{1}{x{i}})} , where i=1,2,...ni=1,2,...n and nn is the number of items in the dataset xx .

  • Geometric Mean is the n-th root of the product of all nn elements xix_i in a dataset xx. inxin\sqrt[n]{\prod_i^n x_{i}} , where i=1,2,...ni=1,2,...n and nn is the number of items in the dataset xx .

Variability tells you about the spread of the data. Useful measures include variance, Standard deviation, Skewness, Percentile, and Range.

Correlation or Joint Variability tells you about the relation between a pair of variables in a dataset. Useful measures include covariance and the correlation coefficient.

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