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<p><b><i>Que identifiques cada una de las medidas de Dispersión (</i></b><b>Rango, Desviación, Varianza y <i>Coeficiente de variación) y las apliques en encuestas variadas sobre el covid 19</i></b><b><i>.</i></b></p>
Motivación
<p>¿CUANTO SABES DE ESTADÍSTICA? ESTUDIA CON ESTAS PREGUNTAS DE EXAMEN | FÁCIL</p><p><b><a href="https://youtu.be/3v7miZHLQ8c">https://youtu.be/3v7miZHLQ8c</a></b></p><p><iframe width="500" height="281" src="//www.youtube.com/embed/3v7miZHLQ8c" frameborder="0" allowfullscreen=""></iframe><br></p><p><img 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alt=""></p><p><img 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" alt="" style="width: 328px; height: 51px;" width="328" height="51"></p><b></b>
Explicación
<p><strong>En cada Vídeo, encontrarás muy buena información sobre las medidas de Dispersión, obsérvalos con mucha atención.</strong></p><p>Todo lo que debes saber de estadística descriptiva en 10 minutos fácil!</p><p><a href="https://youtu.be/W1_eCwuYkAI">https://youtu.be/W1_eCwuYkAI</a></p><p><a href="https://youtu.be/IlAk8iAEoZY">https://youtu.be/IlAk8iAEoZY</a> TeoríaMedidas de Dispersión</p><p><a href="https://youtu.be/BSxdG6XpCwc">https://youtu.be/BSxdG6XpCwc</a> Medidas de Dispersión TEORÍA</p><p><a href="https://youtu.be/BoUMgcA2MhA">https://youtu.be/BoUMgcA2MhA</a> Medidas de Dispersión </p><p><a href="https://youtu.be/xNufgHeJZO4">https://youtu.be/xNufgHeJZO4</a> Medidas de dispersión: Rango o recorrido, Desviación media, Varianza y Desviación típica o estándar.</p>
Ejercicios
<p>Únete con un compañer@, escojan de la página del ministerio de Salud y de la secretaria de salud del Tolima, un informe sobre los datos del corona-virus y aplica lo que hemos trabajado en estadística.</p><p><b>Página oficial del Ministerio de salud.</b></p><p><b><a href="https://www.minsalud.gov.co/salud/publica/PET/Paginas/Covid-19_copia.aspx">https://www.minsalud.gov.co/salud/publica/PET/Paginas/Covid-19_copia.aspx</a></b><b></b></p><p><b>Página oficial de la secretaria de salud del Tolima.</b></p><p><b></b></p><p><b><a href="http://www.saludtolima.gov.co/reporte-en-tiempo-real-covid-19-colombia-fuente-ins/">http://www.saludtolima.gov.co/reporte-en-tiempo-real-covid-19-colombia-fuente-ins/</a></b><b></b></p><p><b>El trabajo lo registran en la plataforma o lo envían a mi correo el plazo es hasta el 16 de mayo</b></p>
Evidencia
Evaluación
Bibliografía
<p><a href="https://youtu.be/8J-NOk6omvU">https://youtu.be/8J-NOk6omvU</a></p><p><a href="https://youtu.be/W1_eCwuYkAI">https://youtu.be/W1_eCwuYkAI</a></p><p><a href="https://youtu.be/IlAk8iAEoZY">https://youtu.be/IlAk8iAEoZY</a></p><p><a href="https://youtu.be/BSxdG6XpCwc">https://youtu.be/BSxdG6XpCwc</a></p><p><a href="https://youtu.be/BoUMgcA2MhA">https://youtu.be/BoUMgcA2MhA</a></p> <p><a href="https://youtu.be/xNufgHeJZO4">https://youtu.be/xNufgHeJZO4</a></p> <p><b>Página oficial del Ministerio de salud.</b></p><p><b><a href="https://www.minsalud.gov.co/salud/publica/PET/Paginas/Covid-19_copia.aspx">https://www.minsalud.gov.co/salud/publica/PET/Paginas/Covid-19_copia.aspx</a></b><b></b></p><p><b>Página oficial de la secretaria de salud del Tolima.</b></p><p><b><a href="http://www.saludtolima.gov.co/reporte-en-tiempo-real-covid-19-colombia-fuente-ins/">http://www.saludtolima.gov.co/reporte-en-tiempo-real-covid-19-colombia-fuente-ins/</a></b></p><p><br></p>
Foro
<p>Foro</p><p><b><a href="https://youtu.be/BoUMgcA2MhA">https://youtu.be/BoUMgcA2MhA</a></b><b>Foro Responda el desafío</b><br></p><p><b></b></p><p>Debes hacer resumen de cada uno de los Vídeos que aparecen en la secuencia. </p><p><b><br></b></p><p><b><br></b></p><p><b><br></b></p>
calificable?
Activo
Actualizar