# Enum ObservationStatistics

java.lang.Object
java.lang.Enum<ObservationStatistics>
org.hl7.fhir.r4.model.codesystems.ObservationStatistics
All Implemented Interfaces:
Serializable, Comparable<ObservationStatistics>

• ## Enum Constant Summary

Enum Constants
Enum Constant
Description
The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) 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.
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 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.
The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.
The [number] of valid measurements over the stated period that contributed to the other statistical outputs.
Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable.
The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.
The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.
The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.
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.
Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
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 total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.
The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.
• ## Method Summary

Modifier and Type
Method
Description
fromCode(String codeString)

Returns the enum constant of this type with the specified name.
Returns an array containing the constants of this enum type, in the order they are declared.

### Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

### Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait
• ## Enum Constant Details

• ### AVERAGE

public static final ObservationStatistics AVERAGE
The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.
• ### MAXIMUM

public static final ObservationStatistics MAXIMUM
The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.
• ### MINIMUM

public static final ObservationStatistics MINIMUM
The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.
• ### COUNT

public static final ObservationStatistics COUNT
The [number] of valid measurements over the stated period that contributed to the other statistical outputs.
• ### TOTALCOUNT

public static final ObservationStatistics 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

public static final ObservationStatistics MEDIAN
The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.
• ### STDDEV

public static final ObservationStatistics STDDEV
The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.
• ### SUM

public static final ObservationStatistics SUM
The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.
• ### VARIANCE

public static final ObservationStatistics VARIANCE
The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.
• ### _20PERCENT

public static final ObservationStatistics _20PERCENT
The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
• ### _80PERCENT

public static final ObservationStatistics _80PERCENT
The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
• ### _4LOWER

public static final ObservationStatistics _4LOWER
The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
• ### _4UPPER

public static final ObservationStatistics _4UPPER
The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
• ### _4DEV

public static final ObservationStatistics _4DEV
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.
• ### _51

public static final ObservationStatistics _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

public static final ObservationStatistics _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

public static final ObservationStatistics _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

public static final ObservationStatistics _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

public static final ObservationStatistics 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](https://en.wikipedia.org/wiki/Skewness).
• ### KURTOSIS

public static final ObservationStatistics KURTOSIS
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).
• ### REGRESSION

public static final ObservationStatistics 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](https://en.wikipedia.org/wiki/Simple_linear_regression) This Statistic code will return both a gradient and an intercept value.
• ### NULL

public static final ObservationStatistics NULL
• ## Method Details

• ### values

public static  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

public static ObservationStatistics valueOf(String name)
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 name
NullPointerException - 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

public String toCode()
• ### getSystem

public String getSystem()

• ### getDisplay

public String getDisplay()