Statistic Function
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A Statistic Function is a multiset scoring function that summarizes some numerical property of a multiset.
- AKA: Scalar Statistic, Aggregation Function.
- Context:
- range: a Statistic Value.
- It can range from being a Population Statistic Function to being a Sample Statistic Function.
- Example(s):
- any Population Aggregation Function, such as an arithmetic mean function or an arithmetic median function.
- any Sample Statistic Function, such as a Sample Mean, Sample Median.
- a Count Function, for count values.
- a Maximum Function, for a maximum value.
- a Minimum Function, for a minimum value.
- a Sum Function, for a sum value.
- a P Value Function, for p values.
- …
- Counter-Example(s):
- See: Metric Function, Random Variable, Moment, Aggregate Function, Point Estimator.
References
2009
- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Aggregate_function
- In Computer Science, an aggregate function is a function that returns a single value from a collection of input values such as a set, a bag or a list.
- Common aggregate functions include:
- Aggregate functions are common in numerous Programming Languages such as Ruby, in spreadsheets, and in Relational Algebra.
- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Summary_statistics
- In Descriptive Statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount as simply as possible. Statisticians commonly try to describe the observations in
- a measure of location, or Central Tendency, such as the Arithmetic Mean, Median, mode, or Interquartile Mean.
- a measure of Statistical Dispersion like the Standard Deviation, Variance, range, or Interquartile Range, or Absolute Deviation.
- a measure of the shape of the distribution like Skewness or Kurtosis.
- A common collection of Order Statistics used as summary statistics are the Five-Number Summary, sometimes extended to a Seven-Number Summary, and the associated Box Plot.
- In Descriptive Statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount as simply as possible. Statisticians commonly try to describe the observations in