Generated Narrative: CodeSystem observation-statistics Last updated: 2020-04-09 21:10:28+0000 This case-sensitive code system http://terminology.hl7.org/CodeSystem/observation-statistics defines the following codes: Code Display Definition average Average The mean of N measurements over the stated period. maximum Maximum The maximum value of N measurements over the stated period. minimum Minimum The minimum value of N measurements over the stated period. count Count The [number] of valid measurements over the stated period that contributed to the other statistical outputs. total-count Total Count The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values. median Median The median of N measurements over the stated period. std-dev Standard Deviation The standard deviation of N measurements over the stated period. sum Sum The sum of N measurements over the stated period. variance Variance The variance of N measurements over the stated period. 20-percent 20th Percentile The 20th Percentile of N measurements over the stated period. 80-percent 80th Percentile The 80th Percentile of N measurements over the stated period. 4-lower Lower Quartile The lower Quartile Boundary of N measurements over the stated period. 4-upper Upper Quartile The upper Quartile Boundary of N measurements over the stated period. 4-dev Quartile Deviation The difference between the upper and lower Quartiles is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles. 5-1 1st Quintile The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. 5-2 2nd Quintile The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. 5-3 3rd Quintile The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. 5-4 4th Quintile The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. skew Skew Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined. Source: Wikipedia. kurtosis Kurtosis Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: Wikipedia. regression Regression Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: Wikipedia This Statistic code will return both a gradient and an intercept value.
The statistical operation parameter -"statistic" codes.
This material derives from the HL7 Terminology (THO). THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license.html
The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.
The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.
The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.
The [number] of valid measurements over the stated period that contributed to the other statistical outputs.
The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.
The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.
The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.
The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.
The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.
The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles.
The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.
The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.
The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.
The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.
Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined. Source: [Wikipedia](https://en.wikipedia.org/wiki/Skewness).
Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis).
Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: [Wikipedia](https://en.wikipedia.org/wiki/Simple_linear_regression) This Statistic code will return both a gradient and an intercept value.