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Propósito
<p>Compara características compartidas por dos o más poblaciones o características diferentes dentro de una misma población para lo cual seleccionan muestras, utiliza representaciones gráficas adecuadas y analiza los resultados obtenidos usando conjuntamente las medidas de tendencia central y el rango.</p>
Motivación
<p>Mira el siguiente video</p><p><a href="https://www.youtube.com/watch?v=7oOxNwkA94Y">Las aventuras de Troncho y Poncho: Estadística</a><br></p><p><img src="/web/uploads/9196/009c59fb88-sddefault.jpg"></p>
Explicación
<p>De la pág. 2 a la pág. 5 de la guía.</p><p>Puedes descargar la guía en el siguiente link:</p><p><a href="/web/uploads/9196/3b924a1e86-guia-estadistica-2-tendencia-central-y-rango.pdf">GUIA MEDIDAS DE TENDENCIA CENTRAL Y RANGO</a><br></p>
Ejercicios
<p>De la pág. 6 a la pág. 9 (Sección "Práctico lo que aprendí") de la guía.</p><p>Puedes descargar la guía en el siguiente link:</p><p><a href="/web/uploads/9196/64543f1a8d-guia-estadistica-2-tendencia-central-y-rango.pdf">GUIA MEDIDAS DE TENDENCIA CENTRAL Y RANGO</a><br></p>
Evidencia
Evaluación
<p>Páginas 10 y 11 (Sección "¿Cómo se que aprendí?") de la guía</p><p>Puedes descargar la guía en el siguiente link:</p><p><a href="/web/uploads/9196/365aba6c01-guia-estadistica-2-tendencia-central-y-rango.pdf">GUIA MEDIDAS DE TENDENCIA CENTRAL Y RANGO</a><br></p><p><br></p><p> - - - - - - - - - - 602 - - - - - - - - - - </p><p><a href="https://drive.google.com/drive/folders/1vtPufKPdrccApVxIrgtWoZW3U2RH-LM2?usp=sharing">CALIFICACIONES 602</a><br></p><p><a href="/web/uploads/9196/c26603833b-notas-guia.jpg">Notas de la Guía y su peso</a><br></p><p><a href="/web/uploads/04102021/9196/a3169c4d09-1.jpg">Notas de la Guía y su peso (Actualizado)</a><br></p><p><a href="/web/uploads/9196/772a5657a1-actividades-ppe.jpg">Actividades con Puntos Positivos Especiales (PPE)</a><br></p><p><a href="/web/uploads/04102021/9196/695a56b42a-rubrica-nota-2.pdf">Rúbrica de Evaluación Actividad "Práctico lo que aprendí" (NOTA 2)</a><br></p><p><a href="/web/uploads/04102021/9196/52664bdd6c-rubrica-nota-3.pdf">Rúbrica de Evaluación Actividad "¿Cómo se que aprendí?" (NOTA 3)</a><br></p><p><a href="/web/uploads/04102021/9196/c95b7b9e1b-rubrica-evaluacion-proyecto.pdf">Rúbrica de Evaluación Proyecto (NOTA 4)</a><br></p>
Bibliografía
<p> - - - - - - - - - - 601 - - - - - - - - - -<br></p><p><br></p><p> - - - - - - - - - - 602 - - - - - - - - - -<br></p><p>Descarga la guía: <a href="/web/uploads/9196/df6492b020-guia-estadistica-2-tendencia-central-y-rango.pdf">GUIA MEDIDAS DE TENDENCIA CENTRAL Y RANGO</a><a href="/web/uploads/9196/b29b169f98-guia-estadistica-2-tendencia-central-y-rango.pdf"></a></p><p>Presentación: <a href="/web/uploads/04102021/9196/0e7baeeb2f-material-de-apoyo.pdf">Mira las diapositivas aquí</a><a href="/web/uploads/9196/bab836eafb-medidas-de-tendencia-central-rango.pdf"></a></p><p>Ev. Inicial PROBABILIDAD 602: <a href="https://forms.gle/iqnxo7tah6YqxAkr9" target="_blank">Empieza a responder aquí!!!</a></p><p><a href="/web/uploads/04102021/9196/9efa14f241-carpetas-trabajos.pdf">- - Sube las Actividades Aquí - -</a><br></p><p><br></p><p>- - - Proyecto - - -</p><p>P1 - ¿Cómo hacer la pregunta del Proyecto? <a href="https://share.nearpod.com/seYxkPGIXjb" target="_blank">Click Aquí!</a></p><p>P2 - Cuando ya tengas lista tu pregunta: <a href="https://docs.google.com/forms/d/e/1FAIpQLScPkKsXGI4oFACxaRSxJ2pt-2-vuFRkOAtacMDgrInijhQN-Q/viewform?usp=sf_link" target="_blank">Escríbela Aquí</a><a href="https://docs.google.com/forms/d/e/1FAIpQLScPkKsXGI4oFACxaRSxJ2pt-2-vuFRkOAtacMDgrInijhQN-Q/viewform?usp=sf_link"></a></p><p>P3 - Sube a tu carpeta de Drive las evidencias de los datos que recolectaste para tu Proyecto</p><p>P4 - Sube a tu carpeta de Drive las evidencias de los cálculos que hiciste para hallar las medidas de tendencia central y el rango de los datos de tu Proyecto</p><p>P5 - Sube a tu carpeta de Drive el material Visual que usarás en la Socialización de tu Proyecto<span class="redactor-invisible-space"></span></p><p>- - - Actividades - - -</p><p>G1- Actividad Introductoria: <a href="https://share.nearpod.com/7Ot3VDhIXjb" target="_blank">Click Aquí!</a><a href="https://share.nearpod.com/7Ot3VDhIXjb" target="_blank"></a></p><p>G2 - Aprende a <a href="https://share.nearpod.com/SGrI74OVXjb" target="_blank">Calcular cuando están en Tablas de Frecuencia</a></p><p>G3 - <a href="/web/uploads/9196/35dabd1167-tarea.pdf">Click aquí para ver el material de la Tarea</a></p><p>G4 - <a href="https://docs.google.com/forms/d/e/1FAIpQLSey9od52x0IAuKmFU760ti03Zdbyxz6W3UPS5RPtprJarSabQ/viewform?usp=sf_link" target="_blank">El Tesoro</a></p><p>G5 - <a href="https://www.youtube.com/watch?v=tRskdS5XV1E" target="_blank">Material de Apoyo - Actividad "¿Cómo sé que aprendí?"</a></p><p>G6 - <a href="https://docs.google.com/forms/d/e/1FAIpQLSfEdo8re3P-KoOSAQnSAvisVWtLGMGw5PnufhsTYgkj0IiCjA/viewform?usp=sf_link" target="_blank">El Tesoro 2</a></p><p><br></p><p> - - - - - - - - - - Material de Estudio - - - - - - - - - -</p><p>¿Cómo subir las tareas al Drive?: <a href="https://www.youtube.com/watch?v=XspFYb9CF50" target="_blank">Cómo subir archivos a una carpeta compartida de Google drive</a></p><p>Video Introductorio: <a href="https://www.youtube.com/watch?v=7oOxNwkA94Y" target="_blank">Las aventuras de Troncho y Poncho: Estadística</a><br></p><p>Video Cómo calcular e Interpretar la MODA, MEDIA y MEDIANA: <a href="https://www.youtube.com/watch?app=desktop&v=wVo7OTZrzK8&feature=youtu.be" target="_blank">Medidas de Tendencia Central: media, mediana y moda</a></p><p>Video de Profundización en las Medidas de Tendencia Central (Opcional): <a href="https://www.youtube.com/watch?app=desktop&v=WJzwX_QUiKs&feature=youtu.be" target="_blank">Medidas de tendencia central:media,mediana y moda | ¿Qué son y para qué sirven? -Aprende con Tabella</a></p><p>Video Rango 1: <a href="https://www.youtube.com/watch?v=EEFA88P_-pw" target="_blank">ESTADÍSTICA CALCULA EL RANGO</a></p><p>Video Rango 2: <a href="https://www.youtube.com/watch?v=q5bWSTIaV0g" target="_blank">Rango, Amplitud o Recorrido - Ejercicios Resueltos</a></p><p>(Video 1) Medidas de Tendencia Central y Rango en tablas de frecuencia: <a href="https://www.youtube.com/watch?app=desktop&v=FNKSzDSFzzs" target="_blank">Media, mediana y moda en Tablas de Frecuencia</a></p><p>(Video 2) Medidas de Tendencia Central y Rango en tablas de frecuencia: <a href="https://www.youtube.com/watch?v=PeksbmG1jUQ" target="_blank">Hallar la media, mediana y moda en la tabla de frecuencias</a></p><p><a href="https://www.youtube.com/watch?v=PeksbmG1jUQ" target="_blank"></a>(Video 3) Medidas de Tendencia Central y Rango en tablas de frecuencia: <a href="https://www.youtube.com/watch?v=PhI-U8d1znE" target="_blank">Media, Mediana y Moda para Tablas sin Intervalos</a><span class="redactor-invisible-space"></span><br></p>
Foro
<p>¿Cómo interpreta las medidas de tendencia central y el rango?</p><p>NOTA: Recuerda realizar las actividades de la pág. 12 de la guía</p><p>Puedes descargar la guía en el siguiente link:</p><p><a href="/web/uploads/9196/85ba265691-guia-estadistica-2-tendencia-central-y-rango.pdf">GUIA MEDIDAS DE TENDENCIA CE</a></p><p>1. </p><p><br><img src="data:image/png;base64,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" alt=""></p><p>5.<img src="data:image/png;base64,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" alt=""></p><p>6. <img src="data:image/png;base64,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" alt="" "=""></p><p><br></p><p>ACTIVIDAD EN CLASE - GRADO 6-1 30/09/2021 </p><p>Buenos días chicos, para la actividad de hoy vamos a ingresar en el siguiente link y resolver los ejercicios propuestos, al finalizar se deberá tomar una captura de pantalla al resultado y subirla al foro. muchas gracias, feliz día </p><p><a class="DbQRg" target="_blank" href="https://es.liveworksheets.com/worksheets/es/Matem%C3%A1ticas/Medidas_de_tendencia_central/Trabajamos_con_MTC_hf1212493cz">https://es.liveworksheets.com/worksheets/es/Matem%C3%A1ticas/Medidas_de_tendencia_central/Trabajamos_con_MTC_hf1212493cz</a><br></p>
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