Enum ObservationStatistics
 All Implemented Interfaces:
Serializable
,Comparable<ObservationStatistics>

Enum Constant Summary
Enum ConstantDescriptionThe 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated periodThe difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range.The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated periodThe upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated periodThe lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total populationThe second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total populationThe third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total populationThe fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total populationThe 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated periodThe [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated periodThe [number] of valid measurements over the stated period that contributed to the other statistical outputsKurtosis is a measure of the "tailedness" of the probability distribution of a realvalued random variable.The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated periodThe [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated periodThe [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated periodadded to help the parsersLinear regression is an approach for modeling twodimensional 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 nonvertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables.Skewness is a measure of the asymmetry of the probability distribution of a realvalued random variable about its mean.The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated periodThe [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated periodThe total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result valuesThe [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period 
Method Summary
Modifier and TypeMethodDescriptionstatic ObservationStatistics
toCode()
static ObservationStatistics
Returns the enum constant of this type with the specified name.static ObservationStatistics[]
values()
Returns an array containing the constants of this enum type, in the order they are declared.

Enum Constant Details

AVERAGE
The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period 
MAXIMUM
The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period 
MINIMUM
The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period 
COUNT
The [number] of valid measurements over the stated period that contributed to the other statistical outputs 
TOTALCOUNT
The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values 
MEDIAN
The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period 
STDDEV
The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period 
SUM
The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period 
VARIANCE
The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period 
_20PERCENT
The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period 
_80PERCENT
The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period 
_4LOWER
The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period 
_4UPPER
The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period 
_4DEV
The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range. (IQR = Q3Q1) Quartile deviation or Semiinterquartile range is onehalf the difference between the first and the third quartiles. 
_51
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 
_52
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 
_53
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 
_54
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
Skewness is a measure of the asymmetry of the probability distribution of a realvalued 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
Kurtosis is a measure of the "tailedness" of the probability distribution of a realvalued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis) 
REGRESSION
Linear regression is an approach for modeling twodimensional 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 nonvertical 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. 
NULL
added to help the parsers


Method Details

values
Returns an array containing the constants of this enum type, in the order they are declared. Returns:
 an array containing the constants of this enum type, in the order they are declared

valueOf
Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.) Parameters:
name
 the name of the enum constant to be returned. Returns:
 the enum constant with the specified name
 Throws:
IllegalArgumentException
 if this enum type has no constant with the specified nameNullPointerException
 if the argument is null

fromCode
public static ObservationStatistics fromCode(String codeString) throws org.hl7.fhir.exceptions.FHIRException  Throws:
org.hl7.fhir.exceptions.FHIRException

toCode

getSystem

getDefinition

getDisplay
