Analytics Ontology

standard deviation for some measure over a specific reference period

sum of a collection of numbers divided by the number of numbers in the collection

characteristic or feature that can be used to dimensionalize, filter, or subset something

average of the absolute deviations from a central point

symbol that represents a value that does not change (i.e., is fixed) with respect to a formula or expression

quantity by which amounts differ; the remainder left after subtraction of one value from another

degree of scatter or variability shown by observations

Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range.  The collection size argument, above, represents the number of elements in the set, if known. The collection of values under consideration is represented as a structured collection in FIBO, typically a sample set derived from a finite population.

finite combination of symbols that are well-formed according to applicable rules

population for which it is possible to count its units

rule expressed in letters and symbols that consists of at least one expression

mean that indicates the central tendency or typical value of a set of numbers by using the product of their values (as opposed to the arithmetic mean which uses their sum)

most common measure of central tendency; the average of a set of numbers

amount or degree of something; the dimensions, capacity, or amount of something ascertained by measuring

value of the variate dividing the total frequency of a data sample, population, or probability distribution, into two halves

median of the absolute deviations of observations from the average which may be the arithmetic mean, the median or the mode

numeric value of some aggregate relative to the value of that aggregate as of some date

ratio value expressed as a fraction of 100, i.e., in which the denominator is fixed rather than variable and equal to 100

statistical measure that is constrained by features, quantity kinds or units that refine how it is calculated

proportional relationship between two different numbers or quantities, or in mathematics a quotient of two numbers or expressions, arrived at by dividing one by the other

proportional relationship specifically between two different quantity values that gives rise to a datum of a specific quantity type

measure of the extent to which the estimate of a characteristic from different possible samples of the same size and the same design differ from one another

qualified measure that is constrained by filters on the statistical population to which it applies

square root of variance that measures the spread or dispersion around the mean of a data set

physical location that is defined per some program for designating geographic regions for the purposes of tabulating and presenting statistical data

identifier for a physical location that is defined per a nationally consistent program for designating geographic regions for the purposes of tabulating and presenting statistical data

summary (means, mode, total, index, etc.) of the individual quantitative variable values for the statistical units in a specific group (study domain)

statistical universe filtered by time and region

program that presents a detailed investigation and analysis of a subject or situation involving one or more studies or surveys

collection representing the total membership, or 'universe', of people, resources, products, services, events, or entities of interest for some question, experiment, survey or statistical program

A statistical universe can be a group of actually existing objects (e.g. the set of all stars within the Milky Way galaxy) or a hypothetical and potentially infinite group of objects conceived as a generalization from experience (e.g. the set of all possible hands in a game of poker).

sum of the values for some characteristic of all units

symbol that represents a parameter in a formula or expression

measure of spread, calculated as the average squared deviation of each number from the mean of a data set

expression or function that determines the relative importance or influence of a given element of a set with respect to the whole

Given a sample size of 1000, and a population of 300M, then the chance that any individual is selected is 1 in 300K.  In that case, 300K is the weight assigned to each of the elements in the sample. 
For certain indices, one of the most common weighting factor is by market capitalization.  In that case, each of the elements in the basket is multiplied by its market cap to determine its relative importance to the basket overall.