Definition for Code System StatisticsCode SystemStatisticsCode

@prefix fhir: <http://hl7.org/fhir/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .

@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .


# - resource -------------------------------------------------------------------

[] a fhir:CodeSystem;
  fhir:Resource.id [ fhir:value "observation-statistics"];
  fhir:Resource.meta [
     fhir:Meta.lastUpdated [ fhir:value "2019-11-01T09:29:23.356+11:00" ]
  ];
  fhir:DomainResource.text [
     fhir:Narrative.status [ fhir:value "generated" ]
  ];
  fhir:CodeSystem.url [ fhir:value "http://terminology.hl7.org/CodeSystem/observation-statistics"];
  fhir:CodeSystem.identifier [
     fhir:index 0;
     fhir:Identifier.system [ fhir:value "urn:ietf:rfc:3986" ];
     fhir:Identifier.value [ fhir:value "urn:oid:2.16.840.1.113883.4.642.4.1126" ]
  ];
  fhir:CodeSystem.version [ fhir:value "4.0.1"];
  fhir:CodeSystem.name [ fhir:value "StatisticsCode"];
  fhir:CodeSystem.title [ fhir:value "StatisticsCode"];
  fhir:CodeSystem.status [ fhir:value "draft"];
  fhir:CodeSystem.experimental [ fhir:value "false"];
  fhir:CodeSystem.date [ fhir:value "2019-11-01T09:29:23+11:00"];
  fhir:CodeSystem.publisher [ fhir:value "HL7 (FHIR Project)"];
  fhir:CodeSystem.contact [
     fhir:index 0;
     fhir:ContactDetail.telecom [
       fhir:index 0;
       fhir:ContactPoint.system [ fhir:value "url" ];
       fhir:ContactPoint.value [ fhir:value "http://hl7.org/fhir" ]
     ], [
       fhir:index 1;
       fhir:ContactPoint.system [ fhir:value "email" ];
       fhir:ContactPoint.value [ fhir:value "fhir@lists.hl7.org" ]

<http://hl7.org/fhir/CodeSystem/observation-statistics> a fhir:CodeSystem ;
  fhir:nodeRole fhir:treeRoot ;
  fhir:id [ fhir:v "observation-statistics"] ; # 
  fhir:meta [
     fhir:lastUpdated [ fhir:v "2025-11-27T16:48:47.349+00:00"^^xsd:dateTime ]
  ] ; # 
  fhir:text [
     fhir:status [ fhir:v "generated" ] ;
     fhir:div [ fhir:v "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p class=\"res-header-id\"><b>Generated Narrative: CodeSystem observation-statistics</b></p><a name=\"observation-statistics\"> </a><a name=\"hcobservation-statistics\"> </a><p>This case-sensitive code system <code>http://hl7.org/fhir/observation-statistics</code> defines the following codes:</p><table class=\"codes\"><tr><td style=\"white-space:nowrap\"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style=\"white-space:nowrap\">average<a name=\"observation-statistics-average\"> </a></td><td>Average</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Arithmetic_mean\">mean</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">maximum<a name=\"observation-statistics-maximum\"> </a></td><td>Maximum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Maximal_element\">maximum</a> value of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">minimum<a name=\"observation-statistics-minimum\"> </a></td><td>Minimum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Minimal_element\">minimum</a> value of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">count<a name=\"observation-statistics-count\"> </a></td><td>Count</td><td><div><p>The [number] of valid measurements over the stated period that contributed to the other statistical outputs.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">total-count<a name=\"observation-statistics-total-count\"> </a></td><td>Total Count</td><td><div><p>The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">median<a name=\"observation-statistics-median\"> </a></td><td>Median</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Median\">median</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">std-dev<a name=\"observation-statistics-std-dev\"> </a></td><td>Standard Deviation</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Standard_deviation\">standard deviation</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">sum<a name=\"observation-statistics-sum\"> </a></td><td>Sum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Summation\">sum</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">variance<a name=\"observation-statistics-variance\"> </a></td><td>Variance</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Variance\">variance</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">20-percent<a name=\"observation-statistics-20-percent\"> </a></td><td>20th Percentile</td><td><div><p>The 20th <a href=\"https://en.wikipedia.org/wiki/Percentile\">Percentile</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">80-percent<a name=\"observation-statistics-80-percent\"> </a></td><td>80th Percentile</td><td><div><p>The 80th <a href=\"https://en.wikipedia.org/wiki/Percentile\">Percentile</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-lower<a name=\"observation-statistics-4-lower\"> </a></td><td>Lower Quartile</td><td><div><p>The lower <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartile</a> Boundary of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-upper<a name=\"observation-statistics-4-upper\"> </a></td><td>Upper Quartile</td><td><div><p>The upper <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartile</a> Boundary of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-dev<a name=\"observation-statistics-4-dev\"> </a></td><td>Quartile Deviation</td><td><div><p>The difference between the upper and lower <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartiles</a> 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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-1<a name=\"observation-statistics-5-1\"> </a></td><td>1st Quintile</td><td><div><p>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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-2<a name=\"observation-statistics-5-2\"> </a></td><td>2nd Quintile</td><td><div><p>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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-3<a name=\"observation-statistics-5-3\"> </a></td><td>3rd Quintile</td><td><div><p>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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-4<a name=\"observation-statistics-5-4\"> </a></td><td>4th Quintile</td><td><div><p>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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">skew<a name=\"observation-statistics-skew\"> </a></td><td>Skew</td><td><div><p>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: <a href=\"https://en.wikipedia.org/wiki/Skewness\">Wikipedia</a>.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">kurtosis<a name=\"observation-statistics-kurtosis\"> </a></td><td>Kurtosis</td><td><div><p>Kurtosis  is a measure of the \"tailedness\" of the probability distribution of a real-valued random variable.   Source: <a href=\"https://en.wikipedia.org/wiki/Kurtosis\">Wikipedia</a>.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">regression<a name=\"observation-statistics-regression\"> </a></td><td>Regression</td><td><div><p>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: <a href=\"https://en.wikipedia.org/wiki/Simple_linear_regression\">Wikipedia</a>  This Statistic code will return both a gradient and an intercept value.</p>\n</div></td></tr></table></div>"^^rdf:XMLLiteral ]
  ] ; # 
  fhir:extension ( [
     fhir:url [
       fhir:v "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg"^^xsd:anyURI ;
       fhir:l <http://hl7.org/fhir/StructureDefinition/structuredefinition-wg>
     ] ;
     fhir:value [
       a fhir:Code ;
       fhir:v "oo"

     ]
  ];
  fhir:CodeSystem.description [ fhir:value "The statistical operation parameter -\"statistic\" codes."];
  fhir:CodeSystem.caseSensitive [ fhir:value "true"];
  fhir:CodeSystem.valueSet [ fhir:value "http://hl7.org/fhir/ValueSet/observation-statistics"];
  fhir:CodeSystem.content [ fhir:value "complete"];
  fhir:CodeSystem.concept [
     fhir:index 0;
     fhir:CodeSystem.code [ fhir:value "average" ];
     fhir:CodeSystem.display [ fhir:value "Average" ];
     fhir:CodeSystem.definition [ fhir:value "The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period." ]
  ], [
     fhir:index 1;
     fhir:CodeSystem.code [ fhir:value "maximum" ];
     fhir:CodeSystem.display [ fhir:value "Maximum" ];
     fhir:CodeSystem.definition [ fhir:value "The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period." ]
  ], [
     fhir:index 2;
     fhir:CodeSystem.code [ fhir:value "minimum" ];
     fhir:CodeSystem.display [ fhir:value "Minimum" ];
     fhir:CodeSystem.definition [ fhir:value "The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period." ]
  ], [
     fhir:index 3;
     fhir:CodeSystem.code [ fhir:value "count" ];
     fhir:CodeSystem.display [ fhir:value "Count" ];
     fhir:CodeSystem.definition [ fhir:value "The [number] of valid measurements over the stated period that contributed to the other statistical outputs." ]
  ], [
     fhir:index 4;
     fhir:CodeSystem.code [ fhir:value "total-count" ];
     fhir:CodeSystem.display [ fhir:value "Total Count" ];
     fhir:CodeSystem.definition [ fhir:value "The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values." ]
  ], [
     fhir:index 5;
     fhir:CodeSystem.code [ fhir:value "median" ];
     fhir:CodeSystem.display [ fhir:value "Median" ];
     fhir:CodeSystem.definition [ fhir:value "The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period." ]
  ], [
     fhir:index 6;
     fhir:CodeSystem.code [ fhir:value "std-dev" ];
     fhir:CodeSystem.display [ fhir:value "Standard Deviation" ];
     fhir:CodeSystem.definition [ fhir:value "The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period." ]
  ], [
     fhir:index 7;
     fhir:CodeSystem.code [ fhir:value "sum" ];
     fhir:CodeSystem.display [ fhir:value "Sum" ];
     fhir:CodeSystem.definition [ fhir:value "The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period." ]
  ], [
     fhir:index 8;
     fhir:CodeSystem.code [ fhir:value "variance" ];
     fhir:CodeSystem.display [ fhir:value "Variance" ];
     fhir:CodeSystem.definition [ fhir:value "The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period." ]
  ], [
     fhir:index 9;
     fhir:CodeSystem.code [ fhir:value "20-percent" ];
     fhir:CodeSystem.display [ fhir:value "20th Percentile" ];
     fhir:CodeSystem.definition [ fhir:value "The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period." ]
  ], [
     fhir:index 10;
     fhir:CodeSystem.code [ fhir:value "80-percent" ];
     fhir:CodeSystem.display [ fhir:value "80th Percentile" ];
     fhir:CodeSystem.definition [ fhir:value "The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period." ]
  ], [
     fhir:index 11;
     fhir:CodeSystem.code [ fhir:value "4-lower" ];
     fhir:CodeSystem.display [ fhir:value "Lower Quartile" ];
     fhir:CodeSystem.definition [ fhir:value "The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period." ]
  ], [
     fhir:index 12;
     fhir:CodeSystem.code [ fhir:value "4-upper" ];
     fhir:CodeSystem.display [ fhir:value "Upper Quartile" ];
     fhir:CodeSystem.definition [ fhir:value "The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period." ]
  ], [
     fhir:index 13;
     fhir:CodeSystem.code [ fhir:value "4-dev" ];
     fhir:CodeSystem.display [ fhir:value "Quartile Deviation" ];
     fhir:CodeSystem.definition [ fhir:value "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." ]
  ], [
     fhir:index 14;
     fhir:CodeSystem.code [ fhir:value "5-1" ];
     fhir:CodeSystem.display [ fhir:value "1st Quintile" ];
     fhir:CodeSystem.definition [ fhir:value "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." ]
  ], [
     fhir:index 15;
     fhir:CodeSystem.code [ fhir:value "5-2" ];
     fhir:CodeSystem.display [ fhir:value "2nd Quintile" ];
     fhir:CodeSystem.definition [ fhir:value "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." ]
  ], [
     fhir:index 16;
     fhir:CodeSystem.code [ fhir:value "5-3" ];
     fhir:CodeSystem.display [ fhir:value "3rd Quintile" ];
     fhir:CodeSystem.definition [ fhir:value "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." ]
  ], [
     fhir:index 17;
     fhir:CodeSystem.code [ fhir:value "5-4" ];
     fhir:CodeSystem.display [ fhir:value "4th Quintile" ];
     fhir:CodeSystem.definition [ fhir:value "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." ]
  ], [
     fhir:index 18;
     fhir:CodeSystem.code [ fhir:value "skew" ];
     fhir:CodeSystem.display [ fhir:value "Skew" ];
     fhir:CodeSystem.definition [ fhir:value "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)." ]
  ], [
     fhir:index 19;
     fhir:CodeSystem.code [ fhir:value "kurtosis" ];
     fhir:CodeSystem.display [ fhir:value "Kurtosis" ];
     fhir:CodeSystem.definition [ fhir:value "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)." ]
  ], [
     fhir:index 20;
     fhir:CodeSystem.code [ fhir:value "regression" ];
     fhir:CodeSystem.display [ fhir:value "Regression" ];
     fhir:CodeSystem.definition [ fhir:value "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." ]
  ] .

  ] ) ; # 
  fhir:url [
     fhir:v "http://hl7.org/fhir/observation-statistics"^^xsd:anyURI ;
     fhir:l <http://hl7.org/fhir/observation-statistics>
  ] ; # 
  fhir:identifier ( [
     fhir:system [
       fhir:v "urn:ietf:rfc:3986"^^xsd:anyURI ;
       fhir:l <urn:ietf:rfc:3986>
     ] ;
     fhir:value [ fhir:v "urn:oid:2.16.840.1.113883.4.642.1.1126" ]
  ] [
     fhir:use [ fhir:v "old" ] ;
     fhir:system [
       fhir:v "urn:ietf:rfc:3986"^^xsd:anyURI ;
       fhir:l <urn:ietf:rfc:3986>
     ] ;
     fhir:value [ fhir:v "urn:oid:2.16.840.1.113883.4.642.1.395" ]
  ] ) ; # 
  fhir:version [ fhir:v "6.0.0-ballot3"] ; # 
  fhir:name [ fhir:v "StatisticsCode"] ; # 
  fhir:title [ fhir:v "Statistics Code"] ; # 
  fhir:status [ fhir:v "active"] ; # 
  fhir:experimental [ fhir:v false] ; # 
  fhir:date [ fhir:v "2022-12-01T09:29:23+11:00"^^xsd:dateTime] ; # 
  fhir:publisher [ fhir:v "HL7 (FHIR Project)"] ; # 
  fhir:contact ( [
     fhir:telecom ( [
       fhir:system [ fhir:v "url" ] ;
       fhir:value [ fhir:v "http://hl7.org/fhir" ]
     ] [
       fhir:system [ fhir:v "email" ] ;
       fhir:value [ fhir:v "fhir@lists.hl7.org" ]
     ] )
  ] ) ; # 
  fhir:description [ fhir:v "The statistical operation parameter -\"statistic\" codes."] ; # 
  fhir:jurisdiction ( [
     fhir:coding ( [
       fhir:system [
         fhir:v "http://unstats.un.org/unsd/methods/m49/m49.htm"^^xsd:anyURI ;
         fhir:l <http://unstats.un.org/unsd/methods/m49/m49.htm>
       ] ;
       fhir:code [ fhir:v "001" ] ;
       fhir:display [ fhir:v "World" ]
     ] )
  ] ) ; # 
  fhir:caseSensitive [ fhir:v true] ; # 
  fhir:valueSet [
     fhir:v "http://hl7.org/fhir/ValueSet/observation-statistics"^^xsd:anyURI ;
     fhir:l <http://hl7.org/fhir/ValueSet/observation-statistics>
  ] ; # 
  fhir:hierarchyMeaning [] ; # 
  fhir:content [ fhir:v "complete"] ; # 
  fhir:concept ( [
     fhir:code [ fhir:v "average" ] ;
     fhir:display [ fhir:v "Average" ] ;
     fhir:definition [ fhir:v "The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "maximum" ] ;
     fhir:display [ fhir:v "Maximum" ] ;
     fhir:definition [ fhir:v "The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "minimum" ] ;
     fhir:display [ fhir:v "Minimum" ] ;
     fhir:definition [ fhir:v "The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "count" ] ;
     fhir:display [ fhir:v "Count" ] ;
     fhir:definition [ fhir:v "The [number] of valid measurements over the stated period that contributed to the other statistical outputs." ]
  ] [
     fhir:code [ fhir:v "total-count" ] ;
     fhir:display [ fhir:v "Total Count" ] ;
     fhir:definition [ fhir:v "The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values." ]
  ] [
     fhir:code [ fhir:v "median" ] ;
     fhir:display [ fhir:v "Median" ] ;
     fhir:definition [ fhir:v "The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "std-dev" ] ;
     fhir:display [ fhir:v "Standard Deviation" ] ;
     fhir:definition [ fhir:v "The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "sum" ] ;
     fhir:display [ fhir:v "Sum" ] ;
     fhir:definition [ fhir:v "The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "variance" ] ;
     fhir:display [ fhir:v "Variance" ] ;
     fhir:definition [ fhir:v "The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "20-percent" ] ;
     fhir:display [ fhir:v "20th Percentile" ] ;
     fhir:definition [ fhir:v "The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "80-percent" ] ;
     fhir:display [ fhir:v "80th Percentile" ] ;
     fhir:definition [ fhir:v "The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "4-lower" ] ;
     fhir:display [ fhir:v "Lower Quartile" ] ;
     fhir:definition [ fhir:v "The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "4-upper" ] ;
     fhir:display [ fhir:v "Upper Quartile" ] ;
     fhir:definition [ fhir:v "The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period." ]
  ] [
     fhir:code [ fhir:v "4-dev" ] ;
     fhir:display [ fhir:v "Quartile Deviation" ] ;
     fhir:definition [ fhir:v "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." ]
  ] [
     fhir:code [ fhir:v "5-1" ] ;
     fhir:display [ fhir:v "1st Quintile" ] ;
     fhir:definition [ fhir:v "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." ]
  ] [
     fhir:code [ fhir:v "5-2" ] ;
     fhir:display [ fhir:v "2nd Quintile" ] ;
     fhir:definition [ fhir:v "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." ]
  ] [
     fhir:code [ fhir:v "5-3" ] ;
     fhir:display [ fhir:v "3rd Quintile" ] ;
     fhir:definition [ fhir:v "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." ]
  ] [
     fhir:code [ fhir:v "5-4" ] ;
     fhir:display [ fhir:v "4th Quintile" ] ;
     fhir:definition [ fhir:v "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." ]
  ] [
     fhir:code [ fhir:v "skew" ] ;
     fhir:display [ fhir:v "Skew" ] ;
     fhir:definition [ fhir:v "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)." ]
  ] [
     fhir:code [ fhir:v "kurtosis" ] ;
     fhir:display [ fhir:v "Kurtosis" ] ;
     fhir:definition [ fhir:v "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)." ]
  ] [
     fhir:code [ fhir:v "regression" ] ;
     fhir:display [ fhir:v "Regression" ] ;
     fhir:definition [ fhir:v "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." ]
  ] ) . # 


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