<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2448-8089</journal-id>
<journal-title><![CDATA[Educación matemática]]></journal-title>
<abbrev-journal-title><![CDATA[Educ. mat.]]></abbrev-journal-title>
<issn>2448-8089</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de Investigación y Divulgación de la Educación Matemática A.C.; Universidad de Guadalajara]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2448-80892016000300061</article-id>
<article-id pub-id-type="doi">10.24844/em2803.03</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis de datos bivariados en un ambiente basado en applets y software dinámico]]></article-title>
<article-title xml:lang="en"><![CDATA[Bivariate Data Analysis in an Environment Based on the use of Applets and Dynamic Software]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Inzunza Cazares]]></surname>
<given-names><![CDATA[Santiago]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Sinaloa Facultad de Informática ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2016</year>
</pub-date>
<volume>28</volume>
<numero>3</numero>
<fpage>61</fpage>
<lpage>90</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2448-80892016000300061&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2448-80892016000300061&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2448-80892016000300061&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Se reportan resultados de una investigación sobre análisis de datos bivariados realizada con 34 estudiantes universitarios mientras tomaban un curso introductorio de estadística en el cual se utilizó un ambiente computacional integrado por applets y software dinámico para análisis de datos. En la evaluación diagnóstica los estudiantes exhibieron bajo nivel de razonamiento intuitivo sobre la covariación en diagramas de dispersión, pero en la actividad final, después de haber utilizado el ambiente computacional, lograron identificar con éxito la dirección de la relación entre dos variables y desarrollaron un buen sentido de la intensidad de la relación y el coeficiente de correlación; sin embargo, la interpretación de los coeficientes de la ecuación de regresión y el coeficiente de determinación resultó ser una tarea complicada para ellos. Las estrategias utilizadas en el análisis de datos privilegiaron el uso de representaciones gráficas y visuales sobre representaciones simbólicas de cálculo, como resultado del potencial de visualización dinámica de las herramientas tecnológicas utilizadas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Results are reported of a study on bivariate data analysis, with 34 university students, while taking an introductory statistics course, in which a computer environment integrated by applets and dynamic software data analysis were used, are reported. In the diagnostic evaluation, the students exhibited low level of intuitive reasoning about the covariation in scatter plots, but in the final activity, after using the computer environment, they successfully identified the direction of the relationship between the variables and developed a good sense of the strength of the relationship and correlation coefficient. However, the interpretation of the coefficients of the regression equation and the coefficient of determination were a complicated task for the students. The strategies used in the data analysis privileged the use of graphical and visual representations, instead of symbolic representations of calculation, as result of the dynamic visualization power of the technological tools used.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Datos bivariados]]></kwd>
<kwd lng="es"><![CDATA[razonamiento covariacional]]></kwd>
<kwd lng="es"><![CDATA[tecnologías digitales]]></kwd>
<kwd lng="en"><![CDATA[Bivariate data]]></kwd>
<kwd lng="en"><![CDATA[covariational reasoning]]></kwd>
<kwd lng="en"><![CDATA[digital technologies]]></kwd>
</kwd-group>
</article-meta>
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