<?xml version="1.0" encoding="UTF-8"?><CodeSystem xmlns="http://hl7.org/fhir"><id value="observation-statistics"/><meta><lastUpdated value="2020-04-09T21:10:28.568+00:00"/></meta><text><status value="generated"/><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><a name="observation-statistics-en-US"> </a><div style="display: inline-block; background-color: #d9e0e7; padding: 6px; margin: 4px; border: 1px solid #8da1b4; border-radius: 5px; line-height: 60%"><p style="margin-bottom: 0px">Last updated: 2020-04-09 21:10:28+0000</p></div><p>This case-sensitive code system <code>http://terminology.hl7.org/CodeSystem/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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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 &quot;tailedness&quot; of the probability distribution of a real-valued random variable.   Source: <a href="https://en.wikipedia.org/wiki/Kurtosis">Wikipedia</a>.</p>
</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>
</div></td></tr></table></div></text><url value="http://terminology.hl7.org/CodeSystem/observation-statistics"/><identifier><system value="urn:ietf:rfc:3986"/><value value="urn:oid:2.16.840.1.113883.4.642.1.1126"/></identifier><version value="1.0.0"/><name value="StatisticsCode"/><title value="StatisticsCode"/><status value="draft"/><experimental value="false"/><date value="2020-04-09T21:10:28+00:00"/><publisher value="Health Level Seven International"/><contact><telecom><system value="url"/><value value="http://hl7.org"/></telecom><telecom><system value="email"/><value value="hq@HL7.org"/></telecom></contact><description value="The statistical operation parameter -&quot;statistic&quot; codes."/><copyright value="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"/><caseSensitive value="true"/><valueSet value="http://terminology.hl7.org/ValueSet/observation-statistics"/><content value="complete"/><concept><code value="average"/><display value="Average"/><definition value="The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Average"/></designation></concept><concept><code value="maximum"/><display value="Maximum"/><definition value="The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Maximum"/></designation></concept><concept><code value="minimum"/><display value="Minimum"/><definition value="The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Minimum"/></designation></concept><concept><code value="count"/><display value="Count"/><definition value="The [number] of valid measurements over the stated period that contributed to the other statistical outputs."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Count"/></designation></concept><concept><code value="total-count"/><display value="Total Count"/><definition value="The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Total Count"/></designation></concept><concept><code value="median"/><display value="Median"/><definition value="The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Median"/></designation></concept><concept><code value="std-dev"/><display value="Standard Deviation"/><definition value="The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Standard Deviation"/></designation></concept><concept><code value="sum"/><display value="Sum"/><definition value="The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Sum"/></designation></concept><concept><code value="variance"/><display value="Variance"/><definition value="The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Variance"/></designation></concept><concept><code value="20-percent"/><display value="20th Percentile"/><definition value="The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="20th Percentile"/></designation></concept><concept><code value="80-percent"/><display value="80th Percentile"/><definition value="The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="80th Percentile"/></designation></concept><concept><code value="4-lower"/><display value="Lower Quartile"/><definition value="The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Lower Quartile"/></designation></concept><concept><code value="4-upper"/><display value="Upper Quartile"/><definition value="The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Upper Quartile"/></designation></concept><concept><code value="4-dev"/><display value="Quartile Deviation"/><definition 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."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Quartile Deviation"/></designation></concept><concept><code value="5-1"/><display value="1st Quintile"/><definition 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."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="1st Quintile"/></designation></concept><concept><code value="5-2"/><display value="2nd Quintile"/><definition 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."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="2nd Quintile"/></designation></concept><concept><code value="5-3"/><display value="3rd Quintile"/><definition 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."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="3rd Quintile"/></designation></concept><concept><code value="5-4"/><display value="4th Quintile"/><definition 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."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="4th Quintile"/></designation></concept><concept><code value="skew"/><display value="Skew"/><definition 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)."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Skew"/></designation></concept><concept><code value="kurtosis"/><display value="Kurtosis"/><definition value="Kurtosis  is a measure of the &quot;tailedness&quot; of the probability distribution of a real-valued random variable.   Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis)."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Kurtosis"/></designation></concept><concept><code value="regression"/><display value="Regression"/><definition 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."/><designation><use><system value="http://terminology.hl7.org/CodeSystem/designation-usage"/><code value="display"/></use><value value="Regression"/></designation></concept></CodeSystem>